├── .ipynb_checkpoints ├── Iris Dataset Classification-checkpoint.ipynb └── PCA on MNIST Dataset-checkpoint.ipynb ├── Confidence Interval using Empirical Bootstrap ├── .ipynb_checkpoints │ └── Empirical Bootstrap based Confidence Interval-checkpoint.ipynb ├── Empirical Bootstrap based Confidence Interval.ipynb └── height_weight_data.csv ├── Data cleaning project ├── .ipynb_checkpoints │ └── Data Cleaning Tutorial - Real Python-checkpoint.ipynb ├── BL-Flickr-Images-Book.csv ├── Data Cleaning Tutorial - Real Python.ipynb └── university_towns.txt ├── Deep Learning SOTA ├── .ipynb_checkpoints │ ├── Inception-checkpoint.ipynb │ └── Resnet-checkpoint.ipynb ├── Alexnet.ipynb ├── Assignments5.md ├── Cnn_Architectures.ipynb ├── Inception.ipynb ├── LeNet.ipynb ├── Resnet.ipynb ├── SOTA PAPERS │ ├── CNN.pdf │ ├── Deep Visual Semantic GAN.pdf │ ├── EfficientNet Mingxing Tan.pdf │ ├── Faster R-CNN.pdf │ ├── GAN Ian Goodfellow.pdf │ ├── LeNet Google.pdf │ ├── LeNet Yann LeCun.pdf │ ├── R-CNN.pdf │ ├── ResNet Microsoft.pdf │ └── VGGNet Karen Simonyan.pdf ├── VGG.ipynb └── img │ ├── 5x.png │ ├── 5x5.png │ ├── 81.png │ ├── 82.png │ ├── alex3.jpg │ ├── alex4.jpg │ ├── alex512.png │ ├── alex612.png │ ├── alexnet.png │ ├── alexnet2.png │ ├── arch.jpg │ ├── atrous.gif │ ├── atrous.png │ ├── atrous2.png │ ├── b1.png │ ├── blob.png │ ├── c31.png │ ├── c32.png │ ├── c5.png │ ├── coco.png │ ├── compare.png │ ├── concur.jpg │ ├── concurrence.jpg │ ├── config2.jpg │ ├── config3.jpg │ ├── config4.png │ ├── cpmpare.jpg │ ├── dag.png │ ├── deg.jpg │ ├── dis.jpg │ ├── dis1.jpg │ ├── error.png │ ├── f1.png │ ├── f2.png │ ├── f61.png │ ├── f62.png │ ├── face.png │ ├── face1.webp │ ├── face2.png │ ├── face3.png │ ├── face4.png │ ├── fast.jpg │ ├── fast1.png │ ├── fast10.webp │ ├── fast11.webp │ ├── fast12.webp │ ├── fast13.webp │ ├── fast14.webp │ ├── fast15.webp │ ├── fast16.webp │ ├── fast17.webp │ ├── fast18.webp │ ├── fast2.png │ ├── fast3.webp │ ├── fast4.webp │ ├── fast5.webp │ ├── fast6.png │ ├── fast7.png │ ├── fast8.webp │ ├── fast9.webp │ ├── formula.png │ ├── gan.jpg │ ├── gif.gif │ ├── glove.png │ ├── grid1.png │ ├── grid2.png │ ├── history.jpg │ ├── idf.png │ ├── idf1.png │ ├── idf2.png │ ├── inception.png │ ├── inceptionnetwork.png │ ├── inceptionpic.jpg │ ├── inf.png │ ├── lenet-5.png │ ├── mask.png │ ├── mask1.png │ ├── mask10.png │ ├── mask11.png │ ├── mask12.png │ ├── mask13.png │ ├── mask14.png │ ├── mask15.png │ ├── mask16.png │ ├── mask17.png │ ├── mask18.png │ ├── mask19.png │ ├── mask2.png │ ├── mask20.png │ ├── mask21.png │ ├── mask22.png │ ├── mask23.png │ ├── mask24.png │ ├── mask3.png │ ├── mask4.png │ ├── mask5.png │ ├── mask6.png │ ├── mask7.png │ ├── mask8.png │ ├── mask9.png │ ├── mnist.jpg │ ├── netconvgg.png │ ├── network.png │ ├── networkconfig.png │ ├── ng.gif │ ├── ng1.gif │ ├── ng2.gif │ ├── one.jpg │ ├── pas.png │ ├── pas2.png │ ├── permute.png │ ├── prior.png │ ├── rbm.png │ ├── rbm1.gif │ ├── res.png │ ├── res10in.png │ ├── res11in.png │ ├── res12in.png │ ├── res13in.png │ ├── res14in.png │ ├── res15in.png │ ├── res16in.png │ ├── res17in.png │ ├── res18in.png │ ├── res1in.png │ ├── res2in.png │ ├── res3in.png │ ├── res4in.png │ ├── res5in.png │ ├── res6in.png │ ├── res7in.png │ ├── res8in.png │ ├── res9in.png │ ├── residual.png │ ├── resnet11.gif │ ├── resnetnetwork.png │ ├── resnetresults.png │ ├── resnetwork.png │ ├── result.png │ ├── ssd.png │ ├── ssd1.png │ ├── ssd3.png │ ├── ssdbatch.png │ ├── ssdfor.png │ ├── tablessd.png │ ├── tf.png │ ├── tf1.png │ ├── tfidf.png │ ├── ttttt.png │ ├── v4.png │ ├── variant.png │ ├── vgg.png │ ├── yolo.png │ ├── yolo1.png │ ├── yolo3.png │ ├── yolo4.png │ ├── yolo5.png │ ├── yolo6.png │ ├── yolo7.jpg │ ├── yolo9.png │ ├── yololoss.svg │ └── yolonet.png ├── Deep Learning ├── .ipynb_checkpoints │ ├── Custom trained object detection-checkpoint.ipynb │ └── Vectorization-checkpoint.ipynb ├── Custom trained object detection.ipynb ├── Vectorization.ipynb ├── test_fruits.jfif └── test_image.jpeg ├── FIFA ├── .ipynb_checkpoints │ └── FIFA 2019-checkpoint.ipynb ├── FIFA 2019.ipynb ├── FIFA_data.csv ├── graph.png ├── img_club_logo.jpg ├── img_flag.jpg ├── img_player.jpg └── players.png ├── Iris Dataset Classification └── Iris Dataset Classification.ipynb ├── KNN Explained ├── .ipynb_checkpoints │ ├── kfold-checkpoint.ipynb │ ├── knn-checkpoint.ipynb │ └── knn_with_simple_code-checkpoint.ipynb ├── demo_data │ ├── 1.ushape.csv │ ├── 2.concerticcir1.csv │ ├── 3.concertriccir2.csv │ ├── 4.linearsep.csv │ ├── 5.outlier.csv │ ├── 6.overlap.csv │ ├── 7.xor.csv │ ├── 8.twospirals.csv │ ├── 9.random.csv │ └── meshgrid_image.png ├── kfold.ipynb ├── knn.ipynb └── knn_with_simple_code.ipynb ├── Loan Repay prediction ├── .ipynb_checkpoints │ └── Predicting Loan Repayment-checkpoint.ipynb ├── Predicting Loan Repayment.ipynb └── loan_data.csv ├── PCA on MNIST Dataset ├── .ipynb_checkpoints │ └── PCA on MNIST Dataset-checkpoint.ipynb ├── PCA on MNIST Dataset.ipynb └── digit_train.csv ├── Q-Q plot Implementation ├── .ipynb_checkpoints │ └── Q-Q plot implementation-checkpoint.ipynb └── Q-Q plot implementation.ipynb ├── README.md ├── Titanic Disaster Survival Prediction ├── .ipynb_checkpoints │ ├── Titanic Survival Prediction-checkpoint.ipynb │ └── titanic-advanced-feature-engineering-tutorial-checkpoint.ipynb ├── Titanic Survival Prediction.ipynb ├── gender_submission.csv ├── submissions.csv ├── test.csv ├── titanic-advanced-feature-engineering-tutorial.ipynb └── train.csv ├── VAEX Implementation ├── .ipynb_checkpoints │ └── Vaex Implementation-checkpoint.ipynb ├── Vaex Implementation.ipynb ├── main_dataset.csv └── main_dataset.csv.hdf5 ├── __MACOSX ├── ._FIFA └── FIFA │ ├── ._FIFA 2019.ipynb │ ├── ._FIFA_data.csv │ ├── ._graph.png │ ├── ._img_club_logo.jpg │ ├── ._img_flag.jpg │ ├── ._img_player.jpg │ └── ._players.png ├── habermans cancer survival ├── .ipynb_checkpoints │ └── Habermans Cancer Survival-checkpoint.ipynb ├── Habermans Cancer 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