out/puml/mlready_roadmap/MLReady.svg

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Event</text><ellipse cx="3759.6952" cy="86.859" rx="69.6952" ry="16.339" style="stroke:#FF0000;stroke-width:1.5;fill:none;"/><text fill="#FF0000" font-family="sans-serif" font-size="14" lengthAdjust="spacing" textLength="92" x="3710.6952" y="90.6066">W: Workshop</text><ellipse cx="3915.6079" cy="87.2216" rx="51.1079" ry="14.7016" style="stroke:#FF8C00;stroke-width:1.5;fill:none;"/><text fill="#FF8C00" font-family="sans-serif" font-size="14" lengthAdjust="spacing" textLength="55" x="3885.1079" y="90.9692">M: Math</text><ellipse cx="3602.6868" cy="211.4574" rx="72.6868" ry="16.9374" style="stroke:#191970;stroke-width:1.5;fill:none;"/><text fill="#191970" font-family="sans-serif" font-size="14" lengthAdjust="spacing" textLength="100" x="3549.6868" y="215.2049">A: Assignment</text><ellipse cx="3767.5799" cy="211.2711" rx="57.0799" ry="14.7511" style="stroke:#A80036;stroke-width:1.5;fill:none;"/><text fill="#000000" font-family="sans-serif" font-size="14" lengthAdjust="spacing" textLength="63" x="3733.0799" y="215.0187">Required</text><line style="stroke:#A80036;stroke-width:1.5;" x1="3820.1103" x2="3804.0975" y1="206.1289" y2="222.1417"/><ellipse cx="3912.6007" cy="211.735" rx="52.6007" ry="14.715" style="stroke:#A80036;stroke-width:1.5;fill:none;"/><text fill="#000000" font-family="sans-serif" font-size="14" lengthAdjust="spacing" textLength="57" x="3881.1007" y="215.4826">Optional</text><ellipse cx="2283.3333" cy="87.2655" rx="56.3333" ry="14.7455" style="stroke:#A80036;stroke-width:1.5;fill:none;"/><text fill="#000000" font-family="sans-serif" font-size="14" lengthAdjust="spacing" textLength="62" x="2249.3333" y="91.0131">MLReady</text><ellipse cx="636.5927" cy="211.5994" rx="98.5927" ry="26.0794" style="stroke:#A80036;stroke-width:1.5;fill:none;"/><text fill="#000000" font-family="sans-serif" font-size="14" font-style="italic" lengthAdjust="spacing" textLength="120" x="572.8427" y="207.1986">«Taha bouhsine»</text><text fill="#000000" font-family="sans-serif" font-size="14" lengthAdjust="spacing" textLength="123" x="571.3427" y="223.4954">NLP1: Intro to NLP</text><line style="stroke:#A80036;stroke-width:1.5;" x1="727.3272" x2="698.8252" y1="202.5082" y2="231.0101"/><ellipse cx="209.7224" cy="345.0645" rx="118.2224" ry="26.0445" style="stroke:#A80036;stroke-width:1.5;fill:none;"/><text fill="#000000" font-family="sans-serif" font-size="14" font-style="italic" lengthAdjust="spacing" textLength="120" x="142.9789" y="339.0768">«Taha bouhsine»</text><text fill="#000000" font-family="sans-serif" font-size="14" lengthAdjust="spacing" textLength="171" x="117.4789" y="355.3737">NLP2: Word Embeddings</text><line style="stroke:#A80036;stroke-width:1.5;" x1="318.5219" x2="291.5197" y1="335.9854" y2="362.9876"/><ellipse cx="493.6055" cy="345.1411" rx="131.1055" ry="28.6211" style="stroke:#FF0000;stroke-width:1.5;fill:none;"/><text fill="#FF0000" font-family="sans-serif" font-size="14" font-style="italic" lengthAdjust="spacing" textLength="120" x="428.3541" y="335.8896">«Taha bouhsine»</text><text fill="#FF0000" font-family="sans-serif" font-size="14" lengthAdjust="spacing" textLength="223" x="376.8541" y="352.1865">WNLP1: Text Preparation with TF</text><line style="stroke:#FF0000;stroke-width:1.5;" x1="614.2614" x2="584.6644" y1="335.1638" y2="364.7607"/><ellipse cx="164.441" cy="474.1082" rx="140.941" ry="30.5882" style="stroke:#FF0000;stroke-width:1.5;fill:none;"/><text fill="#FF0000" font-family="sans-serif" font-size="14" font-style="italic" lengthAdjust="spacing" textLength="120" x="101.8686" y="462.3186">«Taha bouhsine»</text><text fill="#FF0000" font-family="sans-serif" font-size="14" lengthAdjust="spacing" textLength="251" x="36.3686" y="478.6154">WNLP2: Sentimental Analysis with TF</text><line style="stroke:#FF0000;stroke-width:1.5;" x1="294.1485" x2="262.57" y1="463.4452" y2="495.0237"/><ellipse cx="459.6371" cy="474.1474" rx="118.6371" ry="26.1274" style="stroke:#FF0000;stroke-width:1.5;fill:none;"/><text fill="#FF0000" font-family="sans-serif" font-size="14" font-style="italic" lengthAdjust="spacing" textLength="120" x="392.9635" y="468.0482">«Taha bouhsine»</text><text fill="#FF0000" font-family="sans-serif" font-size="14" lengthAdjust="spacing" textLength="173" x="366.4635" y="484.3451">WNLP3: Seq2Seq with TF</text><line style="stroke:#FF0000;stroke-width:1.5;" x1="568.8184" x2="541.7327" y1="465.0394" y2="492.1251"/><ellipse cx="733.3004" cy="474.0801" rx="113.3004" ry="25.0601" style="stroke:#191970;stroke-width:1.5;fill:none;"/><text fill="#191970" font-family="sans-serif" font-size="14" lengthAdjust="spacing" textLength="193" x="636.8004" y="476.9268">A7: Text Preparation with TF</text><line style="stroke:#191970;stroke-width:1.5;" x1="837.5702" x2="811.5591" y1="465.3441" y2="491.3553"/><a href="http://GDSCUIZ.github.io" target="_top" title="http://GDSCUIZ.github.io" xlink:actuate="onRequest" xlink:href="http://GDSCUIZ.github.io" xlink:show="new" xlink:title="http://GDSCUIZ.github.io" xlink:type="simple"><path d="M607,587.02 L607,612.1528 A0,0 0 0 0 607,612.1528 L888,612.1528 A0,0 0 0 0 888,612.1528 L888,597.02 L878,587.02 L750.17,587.02 L736.23,499.13 L742.17,587.02 L607,587.02 A0,0 0 0 0 607,587.02 " fill="#FBFB77" filter="url(#f1o8fmf1ymaq2b)" style="stroke:#A80036;stroke-width:1.0;"/><path d="M878,587.02 L878,597.02 L888,597.02 L878,587.02 " fill="#FBFB77" style="stroke:#A80036;stroke-width:1.0;"/><text fill="#000000" font-family="sans-serif" font-size="13" lengthAdjust="spacing" textLength="260" x="613" y="604.0869">Text Preparation of IMDB Dataset with TF</text></a><ellipse cx="157.4187" cy="599.7037" rx="126.4187" ry="27.6837" style="stroke:#191970;stroke-width:1.5;fill:none;"/><text fill="#191970" font-family="sans-serif" font-size="14" lengthAdjust="spacing" textLength="221" x="46.9187" y="602.5504">A8: Sentimental Analysis with TF</text><line style="stroke:#191970;stroke-width:1.5;" x1="273.7613" x2="245.1084" y1="590.0532" y2="618.7061"/><a href="http://GDSCUIZ.github.io" target="_top" title="http://GDSCUIZ.github.io" xlink:actuate="onRequest" xlink:href="http://GDSCUIZ.github.io" xlink:show="new" xlink:title="http://GDSCUIZ.github.io" xlink:type="simple"><path d="M6,716.02 L6,741.1528 A0,0 0 0 0 6,741.1528 L309,741.1528 A0,0 0 0 0 309,741.1528 L309,726.02 L299,716.02 L161.5,716.02 L157.5,627.14 L153.5,716.02 L6,716.02 A0,0 0 0 0 6,716.02 " fill="#FBFB77" filter="url(#f1o8fmf1ymaq2b)" style="stroke:#A80036;stroke-width:1.0;"/><path d="M299,716.02 L299,726.02 L309,726.02 L299,716.02 " fill="#FBFB77" style="stroke:#A80036;stroke-width:1.0;"/><text fill="#000000" font-family="sans-serif" font-size="13" lengthAdjust="spacing" textLength="282" x="12" y="733.0869">Sentimental Analysis with TF Twitter Dataset</text></a><ellipse cx="445.4187" cy="599.7037" rx="126.4187" ry="27.6837" 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font-family="sans-serif" font-size="13" lengthAdjust="spacing" textLength="177" x="352.5" y="733.0869">Seq2Seq translation with TF</text></a><ellipse cx="1595.2537" cy="211.2707" rx="126.7537" ry="27.7507" style="stroke:#A80036;stroke-width:1.5;fill:none;"/><text fill="#000000" font-family="sans-serif" font-size="14" font-style="italic" lengthAdjust="spacing" textLength="128" x="1525.4531" y="203.6296">«Noura Bentaher»</text><text fill="#000000" font-family="sans-serif" font-size="14" lengthAdjust="spacing" textLength="204" x="1487.4531" y="219.9264">CV1: Intro to Computer Vision</text><line style="stroke:#A80036;stroke-width:1.5;" x1="1711.9046" x2="1683.1842" y1="201.5968" y2="230.3172"/><ellipse cx="1444.5918" cy="345.2384" rx="129.0918" ry="28.2184" style="stroke:#A80036;stroke-width:1.5;fill:none;"/><text fill="#000000" font-family="sans-serif" font-size="14" font-style="italic" lengthAdjust="spacing" textLength="128" x="1375.0288" y="337.0018">«Noura Bentaher»</text><text fill="#000000" font-family="sans-serif" font-size="14" lengthAdjust="spacing" textLength="213" x="1332.5288" y="353.2987">CV2: Intro to Image Processing</text><line style="stroke:#A80036;stroke-width:1.5;" x1="1563.3944" x2="1534.2031" y1="335.4014" y2="364.5928"/><ellipse cx="1444.6129" cy="474.0426" rx="130.6129" ry="28.5226" style="stroke:#A80036;stroke-width:1.5;fill:none;"/><text fill="#000000" font-family="sans-serif" font-size="14" font-style="italic" lengthAdjust="spacing" textLength="98" x="1390.6081" y="463.715">«Souad Saidi»</text><text fill="#000000" font-family="sans-serif" font-size="14" lengthAdjust="spacing" textLength="227" x="1326.1081" y="480.0119">CV3: Feature Extraction Methods</text><ellipse cx="1113.5781" cy="344.8356" rx="154.5781" ry="33.3156" style="stroke:#FF0000;stroke-width:1.5;fill:none;"/><text fill="#FF0000" font-family="sans-serif" font-size="14" font-style="italic" lengthAdjust="spacing" textLength="98" x="1064.5781" y="331.3854">«Souad Saidi»</text><text fill="#FF0000" font-family="sans-serif" font-size="14" lengthAdjust="spacing" textLength="280" x="973.5781" y="347.6823">WCV1: Image Classifiation with TF Dense</text><line style="stroke:#FF0000;stroke-width:1.5;" x1="1255.8357" x2="1221.5091" y1="333.2218" y2="367.5484"/><ellipse cx="1361.4302" cy="599.306" rx="146.9302" ry="31.786" style="stroke:#FF0000;stroke-width:1.5;fill:none;"/><text fill="#FF0000" font-family="sans-serif" font-size="14" font-style="italic" lengthAdjust="spacing" textLength="130" x="1295.4503" y="586.5197">«Yassine ELjakani»</text><text fill="#FF0000" font-family="sans-serif" font-size="14" lengthAdjust="spacing" textLength="264" x="1228.4503" y="602.8166">WCV2: CNN Image Classifiation with TF</text><line style="stroke:#FF0000;stroke-width:1.5;" x1="1496.6494" x2="1463.8641" y1="588.2254" y2="621.0108"/><ellipse cx="1051.5416" cy="474.0283" rx="155.5416" ry="33.5083" style="stroke:#FF0000;stroke-width:1.5;fill:none;"/><text fill="#FF0000" font-family="sans-serif" font-size="14" font-style="italic" lengthAdjust="spacing" textLength="130" x="986.5416" y="460.5781">«Yassine ELjakani»</text><text fill="#FF0000" font-family="sans-serif" font-size="14" lengthAdjust="spacing" textLength="282" x="910.5416" y="476.875">WCV3: Image Data Augmentation with TF</text><line style="stroke:#FF0000;stroke-width:1.5;" x1="1194.6858" x2="1160.165" y1="462.3473" y2="496.8681"/><ellipse cx="1051.3356" cy="599.4871" rx="127.8356" ry="27.9671" style="stroke:#191970;stroke-width:1.5;fill:none;"/><text fill="#191970" font-family="sans-serif" font-size="14" lengthAdjust="spacing" textLength="224" x="939.3356" y="602.3338">A10: Image Classification with TF</text><line style="stroke:#191970;stroke-width:1.5;" x1="1168.9821" x2="1140.0439" y1="589.7378" y2="618.6761"/><a href="http://GDSCUIZ.github.io" target="_top" title="http://GDSCUIZ.github.io" xlink:actuate="onRequest" xlink:href="http://GDSCUIZ.github.io" xlink:show="new" xlink:title="http://GDSCUIZ.github.io" xlink:type="simple"><path d="M933.5,716.02 L933.5,741.1528 A0,0 0 0 0 933.5,741.1528 L1169.5,741.1528 A0,0 0 0 0 1169.5,741.1528 L1169.5,726.02 L1159.5,716.02 L1055.5,716.02 L1051.5,627.76 L1047.5,716.02 L933.5,716.02 A0,0 0 0 0 933.5,716.02 " fill="#FBFB77" filter="url(#f1o8fmf1ymaq2b)" style="stroke:#A80036;stroke-width:1.0;"/><path d="M1159.5,716.02 L1159.5,726.02 L1169.5,726.02 L1159.5,716.02 " fill="#FBFB77" style="stroke:#A80036;stroke-width:1.0;"/><text fill="#000000" font-family="sans-serif" font-size="13" lengthAdjust="spacing" textLength="215" x="939.5" y="733.0869">DNN on MNIST Handwritten Digits</text></a><ellipse cx="1361.5139" cy="728.7228" rx="144.0139" ry="31.2028" style="stroke:#191970;stroke-width:1.5;fill:none;"/><text fill="#191970" font-family="sans-serif" font-size="14" lengthAdjust="spacing" textLength="258" x="1232.5139" y="731.5695">A11: CNN Image Classification with TF</text><line style="stroke:#191970;stroke-width:1.5;" 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xlink:title="http://GDSCUIZ.github.io" xlink:type="simple"><path d="M3300,716.02 L3300,741.1528 A0,0 0 0 0 3300,741.1528 L3423,741.1528 A0,0 0 0 0 3423,741.1528 L3423,726.02 L3413,716.02 L3362.93,716.02 L3339.78,629.02 L3354.93,716.02 L3300,716.02 A0,0 0 0 0 3300,716.02 " fill="#FBFB77" filter="url(#f1o8fmf1ymaq2b)" style="stroke:#A80036;stroke-width:1.0;"/><path d="M3413,716.02 L3413,726.02 L3423,726.02 L3413,716.02 " fill="#FBFB77" style="stroke:#A80036;stroke-width:1.0;"/><text fill="#000000" font-family="sans-serif" font-size="13" lengthAdjust="spacing" textLength="102" x="3306" y="733.0869">EDA on Dataset</text></a><ellipse cx="2816.3417" cy="211.2883" rx="176.8417" ry="37.7683" style="stroke:#A80036;stroke-width:1.5;fill:none;"/><text fill="#000000" font-family="sans-serif" font-size="14" font-style="italic" lengthAdjust="spacing" textLength="133" x="2749.8417" y="197.8381">«Said El Hachemy»</text><text fill="#000000" font-family="sans-serif" font-size="14" lengthAdjust="spacing" textLength="326" x="2653.3417" y="214.135">TS1: Intro to Signal Processing and Time Series</text><line style="stroke:#A80036;stroke-width:1.5;" x1="2979.0883" x2="2940.274" y1="198.1223" y2="236.9366"/><ellipse cx="2756.5606" cy="599.6321" rx="138.5606" ry="30.1121" style="stroke:#A80036;stroke-width:1.5;fill:none;"/><text fill="#000000" font-family="sans-serif" font-size="14" font-style="italic" lengthAdjust="spacing" textLength="133" x="2685.1785" y="589.3801">«Said El Hachemy»</text><text fill="#000000" font-family="sans-serif" font-size="14" lengthAdjust="spacing" textLength="244" x="2629.6785" y="605.677">TS2: Deep Learning on Time Series</text><line style="stroke:#A80036;stroke-width:1.5;" x1="2884.0773" x2="2852.9784" y1="589.135" y2="620.2339"/><ellipse cx="2424.428" cy="728.5056" rx="140.428" ry="30.4856" style="stroke:#FF0000;stroke-width:1.5;fill:none;"/><text fill="#FF0000" font-family="sans-serif" font-size="14" font-style="italic" lengthAdjust="spacing" textLength="133" x="2353.7529" y="717.7301">«Said El Hachemy»</text><text fill="#FF0000" font-family="sans-serif" font-size="14" lengthAdjust="spacing" textLength="249" x="2295.7529" y="734.0269">WTS1: Time Series Data Preparation</text><line style="stroke:#FF0000;stroke-width:1.5;" x1="2553.6633" x2="2522.1881" y1="717.8783" y2="749.3534"/><ellipse cx="2742.5214" cy="728.4243" rx="142.5214" ry="30.9043" style="stroke:#FF0000;stroke-width:1.5;fill:none;"/><text fill="#FF0000" font-family="sans-serif" font-size="14" font-style="italic" lengthAdjust="spacing" textLength="133" x="2672.8493" y="717.0451">«Said El Hachemy»</text><text fill="#FF0000" font-family="sans-serif" font-size="14" lengthAdjust="spacing" textLength="254" x="2612.3493" y="733.342">WTS2: Time Series Focasting with TF</text><line style="stroke:#FF0000;stroke-width:1.5;" x1="2873.6832" x2="2841.7863" y1="717.651" y2="749.548"/><ellipse cx="3092.4703" cy="728.4141" rx="172.4703" ry="36.8941" 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xlink:actuate="onRequest" xlink:href="http://GDSCUIZ.github.io" xlink:show="new" xlink:title="http://GDSCUIZ.github.io" xlink:type="simple"><path d="M2266,943.52 L2266,968.6528 A0,0 0 0 0 2266,968.6528 L2583,968.6528 A0,0 0 0 0 2583,968.6528 L2583,953.52 L2573,943.52 L2428.5,943.52 L2424.5,883.77 L2420.5,943.52 L2266,943.52 A0,0 0 0 0 2266,943.52 " fill="#FBFB77" filter="url(#f1o8fmf1ymaq2b)" style="stroke:#A80036;stroke-width:1.0;"/><path d="M2573,943.52 L2573,953.52 L2583,953.52 L2573,943.52 " fill="#FBFB77" style="stroke:#A80036;stroke-width:1.0;"/><text fill="#000000" font-family="sans-serif" font-size="13" lengthAdjust="spacing" textLength="296" x="2272" y="960.5869">Time Series Data Preparation on Stock Market</text></a><ellipse cx="2742.6147" cy="854.6429" rx="98.6147" ry="22.1229" style="stroke:#191970;stroke-width:1.5;fill:none;"/><text fill="#191970" font-family="sans-serif" font-size="14" lengthAdjust="spacing" textLength="161" x="2662.1147" y="857.4896">A14: Forcasting with 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font-size="13" lengthAdjust="spacing" textLength="122" x="3025" y="960.5869">Anomaly Detection</text></a><ellipse cx="779.514" cy="344.9228" rx="120.014" ry="26.4028" style="stroke:#A80036;stroke-width:1.5;fill:none;"/><text fill="#000000" font-family="sans-serif" font-size="14" font-style="italic" lengthAdjust="spacing" textLength="172" x="693.514" y="341.8499">«Ayoub bouihrouchane»</text><text fill="#000000" font-family="sans-serif" font-size="14" lengthAdjust="spacing" textLength="131" x="714.014" y="358.1467">E8: Data Extraction</text><ellipse cx="2283.2513" cy="345.0855" rx="90.2513" ry="24.0655" style="stroke:#A80036;stroke-width:1.5;fill:none;"/><text fill="#000000" font-family="sans-serif" font-size="14" font-style="italic" lengthAdjust="spacing" textLength="56" x="2248.8647" y="338.5219">«Open»</text><text fill="#000000" font-family="sans-serif" font-size="14" lengthAdjust="spacing" textLength="123" x="2215.3647" y="354.8187">E9: Beyond DNNs</text><line 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link WCV3 to WCV2--><path d="M1123.79,503.82 C1173.19,523.5 1238.43,549.49 1288.07,569.27 " fill="none" id="WCV3-to-WCV2" style="stroke:#A80036;stroke-width:1.0;"/><polygon fill="#A80036" points="1292.82,571.16,1285.9418,564.1109,1288.1757,569.308,1282.9785,571.5418,1292.82,571.16" style="stroke:#A80036;stroke-width:1.0;"/><!--MD5=[adc93857b0473cf6bb1e04a00b320b33]
link NLP1 to NLP2--><path d="M573.95,231.78 C495.94,255.81 362.86,296.79 280.92,322.03 " fill="none" id="NLP1-to-NLP2" style="stroke:#A80036;stroke-width:1.0;"/><polygon fill="#A80036" points="276.08,323.51,285.8581,324.6884,280.8592,322.0406,283.507,317.0417,276.08,323.51" style="stroke:#A80036;stroke-width:1.0;"/><!--MD5=[f0201ca297c8b69a9f1897cc63f1bc60]
link NLP1 to E8--><path d="M662.73,236.64 C687.01,258.97 723.14,292.19 748.76,315.76 " fill="none" id="NLP1-to-E8" style="stroke:#A80036;stroke-width:1.0;"/><polygon fill="#A80036" points="752.47,319.16,748.5655,310.1182,748.7943,315.7704,743.1421,315.9992,752.47,319.16" style="stroke:#A80036;stroke-width:1.0;"/><!--MD5=[dd93fb7e3510d94db403163a4238a125]
link NLP1 to WNLP1--><path d="M610.27,236.64 C586.68,258.34 551.91,290.3 526.45,313.72 " fill="none" id="NLP1-to-WNLP1" style="stroke:#A80036;stroke-width:1.0;"/><polygon fill="#A80036" points="522.76,317.11,532.0879,313.9492,526.4357,313.7204,526.6645,308.0682,522.76,317.11" style="stroke:#A80036;stroke-width:1.0;"/><!--MD5=[9a28fbace0d5462c76e257df50bfc7b4]
link NLP2 to WNLP2--><path d="M200.61,371.11 C193.75,390.47 184.19,417.45 176.63,438.79 " fill="none" id="NLP2-to-WNLP2" style="stroke:#A80036;stroke-width:1.0;"/><polygon fill="#A80036" points="174.95,443.52,181.7275,436.374,176.6208,438.8074,174.1874,433.7007,174.95,443.52" style="stroke:#A80036;stroke-width:1.0;"/><!--MD5=[6c2af2b37ba5cbbda9f3b5554250d0a0]
link NLP2 to WNLP3--><path d="M255.06,369.17 C298.63,391.3 364.19,424.6 409.26,447.5 " fill="none" id="NLP2-to-WNLP3" style="stroke:#A80036;stroke-width:1.0;"/><polygon fill="#A80036" points="413.83,449.82,407.608,442.1854,409.3694,447.5611,403.9937,449.3225,413.83,449.82" style="stroke:#A80036;stroke-width:1.0;"/><!--MD5=[f2de0fe17b5c7f5433789fbfa9a9e16d]
link WNLP1 to A7--><path d="M541.78,371.57 C584.04,393.93 645.05,426.22 686.83,448.32 " fill="none" id="WNLP1-to-A7" style="stroke:#A80036;stroke-width:1.0;"/><polygon fill="#A80036" points="691.32,450.7,685.2352,442.9557,686.9004,448.3619,681.4942,450.0271,691.32,450.7" style="stroke:#A80036;stroke-width:1.0;"/><!--MD5=[e620ffb9cb85286360d590b25b86e7b8]
link WNLP1 to WNLP2--><path d="M430.84,370.21 C375.44,391.59 294.64,422.78 236.57,445.2 " fill="none" id="WNLP1-to-WNLP2" style="stroke:#A80036;stroke-width:1.0;"/><polygon fill="#A80036" points="231.73,447.07,241.5663,447.5665,236.3956,445.2722,238.6899,440.1015,231.73,447.07" style="stroke:#A80036;stroke-width:1.0;"/><!--MD5=[90712493368d1b7f230313371793c7cc]
link WNLP1 to WNLP3--><path d="M486.12,373.58 C480.66,393.97 473.23,421.75 467.6,442.76 " fill="none" id="WNLP1-to-WNLP3" style="stroke:#A80036;stroke-width:1.0;"/><polygon fill="#A80036" points="466.29,447.67,472.4922,440.0194,467.5899,442.8419,464.7673,437.9396,466.29,447.67" style="stroke:#A80036;stroke-width:1.0;"/><!--MD5=[8bdd5de839b15eeca8671987e01544d3]
link WNLP2 to A8--><path d="M162.82,504.6 C161.77,523.26 160.4,547.35 159.32,566.46 " fill="none" id="WNLP2-to-A8" style="stroke:#A80036;stroke-width:1.0;"/><polygon fill="#A80036" points="159.02,571.71,163.5033,562.9408,159.2918,566.7174,155.5152,562.5059,159.02,571.71" style="stroke:#A80036;stroke-width:1.0;"/><!--MD5=[63394466f497b96d70d17ea2bdfa83e1]
link WNLP3 to A9--><path d="M456.63,500.31 C454.45,519.57 451.43,546.19 449.09,566.86 " fill="none" id="WNLP3-to-A9" style="stroke:#A80036;stroke-width:1.0;"/><polygon fill="#A80036" points="448.51,571.98,453.4875,563.4815,449.0669,567.0111,445.5372,562.5905,448.51,571.98" style="stroke:#A80036;stroke-width:1.0;"/><!--MD5=[fa2f6f26d228afad458873fe66bb97ea]
link TAB1 to TAB2--><path d="M3295.5,247.07 C3279.37,265.04 3259.62,287.06 3243.01,305.56 " fill="none" id="TAB1-to-TAB2" style="stroke:#A80036;stroke-width:1.0;"/><polygon fill="#A80036" points="3239.3,309.7,3248.2862,305.6691,3242.6377,305.9772,3242.3296,300.3287,3239.3,309.7" style="stroke:#A80036;stroke-width:1.0;"/><!--MD5=[e26e2c716b1aa805a9002921cb359c4a]
link TAB1 to TAB3--><path d="M3373.88,246.38 C3405.24,268.8 3445.73,297.73 3474.47,318.27 " fill="none" id="TAB1-to-TAB3" style="stroke:#A80036;stroke-width:1.0;"/><polygon fill="#A80036" points="3478.62,321.24,3473.6298,312.749,3474.5542,318.3298,3468.9734,319.2542,3478.62,321.24" style="stroke:#A80036;stroke-width:1.0;"/><!--MD5=[b6de3fdbc903fd109d0f8413f109345b]
link TAB1 to TAB4--><path d="M3420.73,241.38 C3480.74,260.08 3559.98,285.37 3629.5,309.52 C3642.56,314.06 3656.57,319.18 3669.62,324.06 " fill="none" id="TAB1-to-TAB4" style="stroke:#A80036;stroke-width:1.0;"/><polygon fill="#A80036" points="3674.39,325.85,3667.3675,318.9446,3669.7084,324.0944,3664.5585,326.4352,3674.39,325.85" style="stroke:#A80036;stroke-width:1.0;"/><!--MD5=[67561a667a19d38e47766fd98595faff]
link TAB2 to WTAB1--><path d="M3238.25,380.05 C3255.08,399.32 3275.98,423.23 3292.37,441.98 " fill="none" id="TAB2-to-WTAB1" style="stroke:#A80036;stroke-width:1.0;"/><polygon fill="#A80036" points="3296,446.14,3293.0863,436.732,3292.7085,442.3762,3287.0643,441.9984,3296,446.14" style="stroke:#A80036;stroke-width:1.0;"/><!--MD5=[3b9ba92ce39911ac4777f67cef0c9505]
link WTAB1 to A12--><path d="M3322.57,502.12 C3324.66,520.5 3327.43,544.94 3329.66,564.61 " fill="none" id="WTAB1-to-A12" style="stroke:#A80036;stroke-width:1.0;"/><polygon fill="#A80036" points="3330.24,569.76,3333.2128,560.3705,3329.6831,564.7911,3325.2625,561.2615,3330.24,569.76" style="stroke:#A80036;stroke-width:1.0;"/><!--MD5=[5af2a8e7dfbd267dbe144d25cf4cba2a]
link TS1 to TS2--><path d="M2844,249.51 C2883.46,307.48 2946.48,421.94 2899.5,507.52 C2884.11,535.56 2856,556.2 2828.75,570.66 " fill="none" id="TS1-to-TS2" style="stroke:#A80036;stroke-width:1.0;"/><polygon fill="#A80036" points="2824.03,573.11,2833.8614,572.5246,2828.4703,570.8113,2830.1836,565.4202,2824.03,573.11" style="stroke:#A80036;stroke-width:1.0;"/><!--MD5=[56a3ca566ae32581657e125a21c6c951]
link TS2 to WTS1--><path d="M2690.11,625.92 C2634.16,647.32 2554.25,677.89 2496.71,699.9 " fill="none" id="TS2-to-WTS1" style="stroke:#A80036;stroke-width:1.0;"/><polygon fill="#A80036" points="2491.91,701.73,2501.7463,702.2265,2496.5756,699.9322,2498.8699,694.7615,2491.91,701.73" style="stroke:#A80036;stroke-width:1.0;"/><!--MD5=[90bf99e37d19962d0b51aa1628ace8a6]
link TS2 to WTS3--><path d="M2823.69,625.92 C2875.66,645.56 2948.05,672.92 3004.62,694.3 " fill="none" id="TS2-to-WTS3" style="stroke:#A80036;stroke-width:1.0;"/><polygon fill="#A80036" points="3009.35,696.09,3002.353,689.1588,3004.6748,694.3172,2999.5165,696.639,3009.35,696.09" style="stroke:#A80036;stroke-width:1.0;"/><!--MD5=[816a138a40635f2818cdf88d09f9b784]
link WTS1 to A13--><path d="M2424.5,759.22 C2424.5,777.56 2424.5,801.13 2424.5,820.11 " fill="none" id="WTS1-to-A13" style="stroke:#A80036;stroke-width:1.0;"/><polygon fill="#A80036" points="2424.5,825.34,2428.5,816.34,2424.5,820.34,2420.5,816.34,2424.5,825.34" style="stroke:#A80036;stroke-width:1.0;"/><!--MD5=[7387ce1c84f82ca02c626ee44ba68b23]
link WTS2 to A14--><path d="M2742.5,759.54 C2742.5,780.2 2742.5,807.38 2742.5,827.2 " fill="none" id="WTS2-to-A14" style="stroke:#A80036;stroke-width:1.0;"/><polygon fill="#A80036" points="2742.5,832.32,2746.5,823.32,2742.5,827.32,2738.5,823.32,2742.5,832.32" style="stroke:#A80036;stroke-width:1.0;"/><!--MD5=[ea4f476c2773c6d4dc87989d3eae1b42]
link WTS3 to A15--><path d="M3092.5,765.72 C3092.5,786.19 3092.5,811.23 3092.5,829.32 " fill="none" id="WTS3-to-A15" style="stroke:#A80036;stroke-width:1.0;"/><polygon fill="#A80036" points="3092.5,834.7,3096.5,825.7,3092.5,829.7,3088.5,825.7,3092.5,834.7" style="stroke:#A80036;stroke-width:1.0;"/><!--MD5=[61eb44586212e09289c50c512bad41ef]
link TS2 to WTS2--><path d="M2753.29,629.66 C2751.24,648.21 2748.58,672.37 2746.41,692.04 " fill="none" id="TS2-to-WTS2" style="stroke:#A80036;stroke-width:1.0;"/><polygon fill="#A80036" points="2745.84,697.19,2750.8175,688.6915,2746.3969,692.2211,2742.8672,687.8005,2745.84,697.19" style="stroke:#A80036;stroke-width:1.0;"/><!--MD5=[35e5f1cbde42fa304a029880aa2bc7f2]
link E9 to E10--><path d="M2345.34,362.62 C2429.47,385.21 2580.25,425.7 2673.96,450.86 " fill="none" id="E9-to-E10" style="stroke:#A80036;stroke-width:1.0;"/><polygon fill="#A80036" points="2678.94,452.2,2671.2723,446.0189,2674.1084,450.9135,2669.2138,453.7496,2678.94,452.2" style="stroke:#A80036;stroke-width:1.0;"/><!--MD5=[526783dfcde15884571727dc3bbf2987]
link E9 to E11--><path d="M2217.65,361.59 C2123.5,383.86 1949.88,424.92 1841.73,450.5 " fill="none" id="E9-to-E11" style="stroke:#A80036;stroke-width:1.0;"/><polygon fill="#A80036" points="1836.63,451.7,1846.3108,453.5118,1841.4946,450.5445,1844.4619,445.7283,1836.63,451.7" style="stroke:#A80036;stroke-width:1.0;"/><!--MD5=[01e7fb777ede19d6dea0886c93193d5b]
link E9 to E12--><path d="M2319.99,367.28 C2358.82,389.9 2420.11,425.6 2460.56,449.17 " fill="none" id="E9-to-E12" style="stroke:#A80036;stroke-width:1.0;"/><polygon fill="#A80036" points="2464.89,451.69,2459.1167,443.7107,2460.5665,449.1786,2455.0985,450.6284,2464.89,451.69" style="stroke:#A80036;stroke-width:1.0;"/><!--MD5=[376cfa6451bccd7a32491f6934dd85b8]
link E9 to E13--><path d="M2243.59,366.71 C2201.38,388.59 2134.68,423.16 2088.87,446.91 " fill="none" id="E9-to-E13" style="stroke:#A80036;stroke-width:1.0;"/><polygon fill="#A80036" points="2084.23,449.31,2094.0614,448.7246,2088.6703,447.0113,2090.3836,441.6202,2084.23,449.31" style="stroke:#A80036;stroke-width:1.0;"/><!--MD5=[a1b670ebc151d08c00312062bddfc35e]
link E9 to E14--><path d="M2283.5,369.31 C2283.5,390.26 2283.5,421.13 2283.5,443.74 " fill="none" id="E9-to-E14" style="stroke:#A80036;stroke-width:1.0;"/><polygon fill="#A80036" points="2283.5,449.01,2287.5,440.01,2283.5,444.01,2279.5,440.01,2283.5,449.01" style="stroke:#A80036;stroke-width:1.0;"/><!--MD5=[c55ba674f67c85206cb455db9f745de7]
link E10 to TS2--><path d="M2756.5,501.82 C2756.5,520.05 2756.5,544.35 2756.5,564.03 " fill="none" id="E10-to-TS2" style="stroke:#A80036;stroke-width:1.0;"/><polygon fill="#A80036" points="2756.5,569.18,2760.5,560.18,2756.5,564.18,2752.5,560.18,2756.5,569.18" style="stroke:#A80036;stroke-width:1.0;"/><!--MD5=[313c173b8556f265fdc1220f47bb1c63]
link E11 to WCV2--><path d="M1672.27,498.83 C1607.83,519.5 1514.51,549.44 1446.97,571.1 " fill="none" id="E11-to-WCV2" style="stroke:#A80036;stroke-width:1.0;"/><polygon fill="#A80036" points="1442.15,572.65,1451.9422,573.705,1446.9103,571.1204,1449.4949,566.0885,1442.15,572.65" style="stroke:#A80036;stroke-width:1.0;"/><!--MD5=[0f2435f98601becdcbcb19efae9347aa]
link E: Event to W: Workshop--><!--MD5=[c7e01f4319e1858fb7eabf2731f6e35b]
link W: Workshop to M: Math--><!--MD5=[41d9513d6a270d3d1ab707bb5fb29dff]
link E: Event to A: Assignment--><!--MD5=[7a9b2ecb8bcc53ccdfc9a5ad337eaf47]
link A: Assignment to Required--><!--MD5=[a9f007f9487967e577345f66b8e0e46c]
link Required to Optional--><!--MD5=[fa011cf5bd5bcb11d7e33dd237b78f69]
@startuml "MLReady"

skinparam usecase {
BackgroundColor transparent
shadowing false
}

(E: Event)
(W: Workshop) #line:red;text:red
(M: Math) #line:darkorange;text:darkorange
(A: Assignment) #line:MidnightBlue;text:MidnightBlue
(Required)/
(Optional)

(MLReady) as ML


(NLP1: Intro to NLP)/ as NLP1 <<Taha bouhsine>>
(NLP2: Word Embeddings)/ as NLP2 <<Taha bouhsine>>
(WNLP1: Text Preparation with TF)/ as WNLP1 <<Taha bouhsine>> #line:red;text:red
(WNLP2: Sentimental Analysis with TF)/ as WNLP2 <<Taha bouhsine>> #line:red;text:red
(WNLP3: Seq2Seq with TF)/ as WNLP3 <<Taha bouhsine>> #line:red;text:red

(A7: Text Preparation with TF)/ as A7 #line:MidnightBlue;text:MidnightBlue
note bottom [[http://GDSCUIZ.github.io]]
Text Preparation of IMDB Dataset with TF
end note

(A8: Sentimental Analysis with TF)/ as A8 #line:MidnightBlue;text:MidnightBlue
note bottom [[http://GDSCUIZ.github.io]]
Sentimental Analysis with TF Twitter Dataset
end note

(A9: Sentimental Analysis with TF)/ as A9 #line:MidnightBlue;text:MidnightBlue
note bottom [[http://GDSCUIZ.github.io]]
Seq2Seq translation with TF
end note


(CV1: Intro to Computer Vision)/ as CV1 <<Noura Bentaher>>
(CV2: Intro to Image Processing)/ as CV2 <<Noura Bentaher>>
(CV3: Feature Extraction Methods) as CV3 <<Souad Saidi>>
(WCV1: Image Classifiation with TF Dense)/ as WCV1 <<Souad Saidi>>#line:red;text:red 
(WCV2: CNN Image Classifiation with TF)/ as WCV2 <<Yassine ELjakani>> #line:red;text:red 
(WCV3: Image Data Augmentation with TF)/ as WCV3 <<Yassine ELjakani>> #line:red;text:red

(A10: Image Classification with TF)/ as A10 #line:MidnightBlue;text:MidnightBlue
note bottom [[http://GDSCUIZ.github.io]]
DNN on MNIST Handwritten Digits
end note

(A11: CNN Image Classification with TF)/ as A11 #line:MidnightBlue;text:MidnightBlue
note bottom [[http://GDSCUIZ.github.io]]
CNN on Fashion MNIST
end note



(TAB1: Feature Engineering with Tabular Data)/ as TAB1 <<Open>>
(TAB2: Advanced EDA and Data Visualization)/ as TAB2 <<souad saidi>>
(TAB3: Intro to D3.js) as TAB3 <<Souad Saidi>>
(TAB4: TabNet) as TAB4 <<Open>>
(WTAB1: EDA on Kaggle Dataset)/ as WTAB1 <<souad saidi>> #line:red;text:red


(A12: EDA and Feature Engineering)/ as A12 #line:MidnightBlue;text:MidnightBlue
note bottom [[http://GDSCUIZ.github.io]]
EDA on Dataset
end note



(TS1: Intro to Signal Processing and Time Series)/ as TS1 <<Said El Hachemy>>
(TS2: Deep Learning on Time Series)/ as TS2 <<Said El Hachemy>>
(WTS1: Time Series Data Preparation)/ as WTS1 <<Said El Hachemy>> #line:red;text:red
(WTS2: Time Series Focasting with TF)/ as WTS2 <<Said El Hachemy>> #line:red;text:red
(WTS3: Time Series Anomaly Detection with TF)/ as WTS3 <<Said El Hachemy>> #line:red;text:red

(A13: Time Series Data Preparation)/ as A13 #line:MidnightBlue;text:MidnightBlue
note bottom [[http://GDSCUIZ.github.io]]
Time Series Data Preparation on Stock Market
end note

(A14: Forcasting with TF)/ as A14 #line:MidnightBlue;text:MidnightBlue
note bottom [[http://GDSCUIZ.github.io]]
Stock Market Forcasting
end note

(A15: Time Series A)/ as A15 #line:MidnightBlue;text:MidnightBlue
note bottom [[http://GDSCUIZ.github.io]]
Anomaly Detection 
end note





(E8: Data Extraction) as E8 <<Ayoub bouihrouchane>>
(E9: Beyond DNNs)/ as E9 <<Open>>
(E10: Recurent Neural Netowrk)/ as E10 <<Omar Ezzahir>>
(E11: Convolutional Neural Network)/ as E11 <<Yassine ELjakani>>
(E12: Transformers) as E12 <<Open>>
(E13: AutoEncoders) as E13 <<Ayoub bouihrouchane>>
(E14: GAN) as E14 <<Noura Bentaher>>

(E15: TensorBoard)/ as E15 <<Chaïma Elmejgari>>
(E16: TF Datasets)/ as E16 <<Chaïma Elmejgari>>

ML - -> NLP1
ML - -> TAB1
ML - -> TS1
ML - -> CV1
ML -> E16
ML -> E15
ML - - -> E9


CV1 - -> CV2
CV1 - -> E11
CV1 - -> WCV1


CV2 - -> CV3
CV2 - -> WCV2

WCV3 - -> A10
WCV1 - -> WCV3

WCV2 - -> A11
WCV3 - -> WCV2
NLP1 - -> NLP2
NLP1 - -> E8
NLP1 - -> WNLP1

NLP2 - -> WNLP2
NLP2 - -> WNLP3

WNLP1 - -> A7
WNLP1 - -> WNLP2
WNLP1 - -> WNLP3

WNLP2 - -> A8
WNLP3 - -> A9

TAB1 - -> TAB2
TAB1 - -> TAB3
TAB1 - -> TAB4
TAB2 - -> WTAB1

WTAB1 - -> A12


TS1 - -> TS2

TS2 - -> WTS1
TS2 - -> WTS3

WTS1 - -> A13
WTS2 - -> A14
WTS3 - -> A15

TS2 - -> WTS2

E9 - -> E10
E9 - -> E11
E9 - -> E12
E9 - -> E13
E9 - -> E14

E10 - -> TS2

E11 - -> WCV2

@enduml

PlantUML version 1.2022.0(Tue Jan 11 17:16:42 WEST 2022)
(GPL source distribution)
Java Runtime: OpenJDK Runtime Environment
JVM: OpenJDK 64-Bit Server VM
Default Encoding: UTF-8
Language: en
Country: US
--></g></svg>