I hereby accept Siraj Raval’s 100 Days of ML Code Challenge! And Complete in 100 days from November to February. On the basis of my past one and half years experience I have done different projects in 100 Days related to:
Machine Learning
Deep Learning
Computer Vision
Natural Language Processing
Doumentation of my 100DaysMLCode: https://drive.google.com/file/d/1vjhQAE0qlnCP3avTJGpsgTjQ8zcS6HW7/view
https://www.linkedin.com/in/amiralicheema/
<---------------------------------Machine Learning -------------------------------> Today's Progress : Match Score Prediction using Linear Regression approach with Scikit Learn. Today's Progress : Cancer Remission and Cell Activity Prediction using the Naive Bayes Classifier Approach with Scikit Learn. Today's Progress :Email Spam Filtering Using the Decsion Tree Classifier Approach with Scikit Learn Today's Progress :Heart Rate Barorefexes For Rabbits Prediction using Decision Tree Regression Approach with Scikit Learn Day 5: November 10 , 2018 Today's Progress :Social_Network_Ads Challenges Prediction using Random Forest Classifier approach with Scikit Learn Day 6: November 11 , 2018 Today's Progress :Monthly Access Return Challenge Using the Random Forrest Regression Approach with Scikit Learn Day 7: November 12 , 2018 Today's Progress :Iris datset(UCI) Prediction using the K nearest neighbor(kNN) with Scikit Learn Day 8: November 13 , 2018 Today's Progress :Breast Cancer Coimbra Dataset (UCI) prediction using Logistic Regression with Scikit Learn Day 9: November 14 , 2018 Today's Progress :Blood Transfusion Service Center Data Set(UCI) prediction using SVM Classifier approach with Scikit Learn Day 10: November 15 , 2018 Today's Progress :Delay in AIDS Reporting in England and Wales prediction using SVM Regression Approach with Scikit Learn Day 11: November 16 , 2018 Today's Progress :Recommendation System for Market Basket Optimisation using Apriori Algorithm (Association Rule) Day 12: November 17 , 2018 Today's Progress :Recommendation System for Market Analysis using FP-Growth Algorithm(Association Rule) from Scratch in python Day 13: November 18 , 2018 Today's Progress :Mall Customers dataset prediction for different customer using k-Mean Clusterning in Scikit Learn (continue) Day 14: November 19 , 2018 Today's Progress :Mall Customers dataset prediction for different customer using k-Mean Clusterning in Scikit Learn (complete) Day 15: November 20 , 2018 Today's Progress :Mall Customers dataset prediction for different customer using Hierarchical Clustering in Scikit Learn (continue) Day 16: November 21 , 2018 Today's Progress :Mall Customers dataset prediction for different customer using Hierarchical Clustering in Scikit Learn (complete) Day 17: November 22 , 2018 Today's Progress :Wine dataset from (UCI) using the PCA technique for Dimensionality Reduction in Scikit Learn (continue) Day 18: November 23 , 2018 Today's Progress :Wine dataset from (UCI) using the PCA technique for Dimensionality Reduction in Scikit Learn (complete) Day 19: November 24 , 2018 Today's Progress :Wine dataset from (UCI) using the LDA technique for Dimensionality Reduction in Scikit Learn (continue) Day 20: November 25 , 2018 Today's Progress :Wine dataset from (UCI) using the LDA technique for Dimensionality Reduction in Scikit Learn (complete) <---------------------------------Deep Learning -------------------------------> Day 21: November 26 , 2018 Today's Progress :Churn Modeling Problem using Artificial Neural Network in Keras and Tensorflow (continous) Day 22: November 27 , 2018 Today's Progress :Churn Modeling Problem using Artificial Neural Network in Keras and Tensorflow (continous) Day 23: November 28 , 2018 Today's Progress :Churn Modeling Problem using Artificial Neural Network in Keras and Tensorflow (complete) Day 24: November 29 , 2018 Today's Progress :Single new prediction from Churn Modeling Problem using Artificial Neural Network Day 25: November 30 , 2018 Today's Progress :Evaluating, Improving and Tuning the ANN in Keras and Tensorflow Day 26: December 1 , 2018 Today's Progress :Dropout Regularization to reduce overfitting the ANN in Keras and Tensorflow Day 27: December 2 , 2018 Today's Progress :Adding some more hidden layer to improve and Tuning the ANN in Keras and Tensorflow Day 28: December 3 , 2018 Today's Progress :Artificial Neural Network Implementation in Tensorflow and Keras(complete) Day 29: December 4 , 2018 Today's Progress : Image Captioning (cat & dog dataset) Using Convolutional Neural Network in Keras & Tensorflow (continous) Day 30: December 5 , 2018 Today's Progress : Image Captioning (cat & dog dataset) Using Convolutional Neural Network in Keras & Tensorflow (continous) Day 31: December 6 , 2018 Today's Progress : Image Captioning (cat & dog dataset) Using Convolutional Neural Network in Keras & Tensorflow (continous) Day 32: December 7 , 2018 Today's Progress : Adding more convolution layer in cat & dog dataset Using Convolutional Neural Network in Keras & Tensorflow Day 33: December 8 , 2018 Today's Progress : Making a new Prediction of Single image of Cat and Dog Using Convolutional Neural Network in Keras & Tensorflow Day 34: December 9 , 2018 Today's Progress : Implementation of Cat & dog dataset Using Convolutional Neural Network in Keras & Tensorflow (complete) Day 35: December 10 , 2018 Today's Progress : Google Stock Price Prediction(Stanford Paper implementation) using Recurrent Neural Network in Keras and Tensorflow (continous) Day 36: December 11 , 2018 Today's Progress : Google Stock Price Prediction(Stanford Paper implementation) using Recurrent Neural Network in Keras and Tensorflow (continuous) Day 37: December 12 , 2018 Today's Progress : Google Stock Price Prediction(Stanford Paper implementation) using Recurrent Neural Network in Keras and Tensorflow (continuous) Day 38: December 13 , 2018 Today's Progress : Google Stock Price Prediction(Stanford Paper implementation) using Recurrent Neural Network in Keras and Tensorflow (continuous) Day 39: December 14 , 2018 Today's Progress : Google Stock Price Prediction(Stanford Paper implementation) using Recurrent Neural Network in Keras and Tensorflow (Visualization) Day 40: December 15 , 2018 Today's Progress : Stalog (Australian Credit Approval ) Dataset from UCI using Self Organization Map (data preprocessing)(continous) Day 41: December 16 , 2018 Today's Progress : Stalog (Australian Credit Approval ) Dataset from UCI using Self Organization Map (building the SOM)(continous) Day 42: December 17 , 2018 Today's Progress : Stalog (Australian Credit Approval ) Dataset from UCI using Self Organization Map (visualize the result)(continous) Day 43: December 18 , 2018 Today's Progress : Stalog (Australian Credit Approval ) Dataset from UCI using Self Organization Map (complete) Day 44: December 19 , 2018 Today's Progress : Recommendation System for Movies in Pytorch using the Boltzmann Machine (continous) Day 45: December 20 , 2018 Today's Progress : Recommendation System for Movies in Pytorch using the Boltzmann Machine (continous) Day 46: December 21 , 2018 Today's Progress : Recommendation System for Movies in Pytorch using the Boltzmann Machine (continous) Day 47: December 22 , 2018 Today's Progress : Recommendation System for Movies in Pytorch using the Boltzmann Machine (continous) Day 48: December 23 , 2018 Today's Progress : Recommendation System for Movies in Pytorch using the Boltzmann Machine (continous) Day 49: December 24 , 2018 Today's Progress : Recommendation System for Movies in Pytorch using the Boltzmann Machine (complete) Day 50: December 25 , 2018 Today's Progress : Implementation of Stack Auto Encoder in pytorch using the dataset of Grouplens research (continous) Day 51: December 26 , 2018 Today's Progress : Implementation of Stack Auto Encoder in pytorch using the dataset of Grouplens research (continous) Day 52: December 27 , 2018 Today's Progress : Implementation of Stack Auto Encoder in pytorch using the dataset of Grouplens research (continous) Day 53: December 28 , 2018 Today's Progress : Implementation of Stack Auto Encoder in pytorch using the dataset of Grouplens research (architecture step complete) (continous) Day 54: December 29 , 2018 Today's Progress : Implementation of Stack Auto Encoder in pytorch using the dataset of Grouplens research (training step complete) (continous) Day 55: December 30 , 2018 Today's Progress : Implementation of Stack Auto Encoder in pytorch using the dataset of Grouplens research (testing step complete) <---------------------------------Computer Vision -------------------------------> Day 56: December 31 , 2018 Today's Progress : Face, Eye and Smile Detection using OpenCV in Computer Vision(Continuous) Day 57: January 01 , 2019 Today's Progress : Face, Eye and Smile Detection using OpenCV in Computer Vision(Continuous) Day 58: January 02 , 2019 Today's Progress : Face, Eye and Smile Detection using OpenCV in Computer Vision(Complete) Day 59: January 03 , 2019 Today's Progress : Object Detection using Single Shot Detection in Computer Vision(continuous) Day 60: January 04 , 2019 Today's Progress : Object Detection using Single Shot Detection in Computer Vision(complete) Day 61: January 05 , 2019 Today's Progress : MNIST-Handwritten-Digits-Recognition-Using-Deep-Neural-Network (continuous) Day 62: January 06 , 2019 Today's Progress : MNIST-Handwritten-Digits-Recognition-Using-Deep-Neural-Network (continuous) Day 63: January 07 , 2019 Today's Progress : MNIST-Handwritten-Digits-Recognition-Using-Deep-Neural-Network (continuous) Day 64: January 08 , 2019 Today's Progress : MNIST-Handwritten-Digits-Recognition-Using-Deep-Neural-Network (complete) Day 65: January 09 , 2019 Today's Progress : CIFAR-10:Object Recognition in Images Using Deep Convolutional Neural Network(DCNN) (continuous) Day 66: January 10 , 2019 Today's Progress : CIFAR-10:Object Recognition in Images Using Deep Convolutional Neural Network(DCNN) (continuous) Day 67: January 11 , 2019 Today's Progress : CIFAR-10:Object Recognition in Images Using Deep Convolutional Neural Network(DCNN) (continuous) Day 68: January 12 , 2019 Today's Progress : CIFAR-10:Object Recognition in Images Using Deep Convolutional Neural Network(DCNN) (continuous) Day 69: January 13 , 2019 Today's Progress : CIFAR-10:Object Recognition in Images Using Deep Convolutional Neural Network(DCNN) (continuous) Day 70: January 14 , 2019 Today's Progress : CIFAR-10:Object Recognition in Images Using Deep Convolutional Neural Network(DCNN) (complete) Day 71: January 15 , 2019 Today's Progress : Image Creation with Deep Convolutional GANs(Generative Adversarial Networks) (continuous) Day 72: January 16 , 2019 Today's Progress : Image Creation with Deep Convolutional GANs(Generative Adversarial Networks) (continuous) Day 73: January 17 , 2019 Today's Progress : Image Creation with Deep Convolutional GANs(Generative Adversarial Networks) (continuous) Day 74: January 18 , 2019 Today's Progress : Image Creation with Deep Convolutional GANs(Generative Adversarial Networks) (continuous) Day 75: January 19 , 2019 Today's Progress : Image Creation with Deep Convolutional GANs(Generative Adversarial Networks) (continuous) Day 76: January 20 , 2019 Today's Progress : Image Creation with Deep Convolutional GANs(Generative Adversarial Networks) (continuous) Day 77: January 21 , 2019 Today's Progress : Image Creation with Deep Convolutional GANs(Generative Adversarial Networks) (complete) Day 78: January 22 , 2019 Today's Progress : Packt Computer Vision with Python3 - Digit Recognition (continuous) Day 79: January 23 , 2019 Today's Progress : Packt Computer Vision with Python3 - Digit Recognition (continuous) Day 80: January 29 , 2019 Today's Progress : Packt Computer Vision with Python3 - Digit Recognition (complete) <-------------------------Natural Language Processing ------------------------> Day 81: January 30 , 2019 Today's Progress : Natural Language Processing Core(Tokenizing Words and Sentences, Stemming) Day 82: January 31 , 2019 Today's Progress : Natural Language Processing Core(Lemmatization, stop word removal, part of speech tagging) Day 83: February 1 , 2019 Today's Progress : Natural Language Processing Core(Named Entity Recognition, Building Bags of Word Model) Day 84: February 2 , 2019 Today's Progress : Natural Language Processing Core(Building the TF-IDF Model using NLTK) Day 85: February 3 , 2019 Today's Progress : Natural Language Processing Core(Building the N-Gram Model for both Character and Word using NLTK) Day 86: February 4 , 2019 Today's Progress : Natural Language Processing Core(Latent Semantic Analysis using Scikit Learn and nltk) Day 87: February 5 , 2019 Today's Progress : Natural Language Processing Core(find Synonyms and Antonyms of word using nltk, Word Negation Tracking) Day 88: February 6 , 2019 Today's Progress : Text Classification using cornell sentiment analysis dataset (continuous) Day 89: February 7 , 2019 Today's Progress : Text Classification using cornell sentiment analysis dataset (continuous) Day 90: February 8 , 2019 Today's Progress : Text Classification using cornell sentiment analysis dataset (continuous) Day 91: February 9 , 2019 Today's Progress : Text Classification using cornell sentiment analysis dataset (complete) Day 92: February 10 , 2019
Today's Progress : Twitter Sentiment Analysis (continuous)
Day 93: February 11 , 2019
Today's Progress : Twitter Sentiment Analysis (continuous)
Day 94: February 12 , 2019
Today's Progress : Twitter Sentiment Analysis (continuous)
Day 95: February 13 , 2019
Today's Progress : Twitter Sentiment Analysis (complete)
Day 96: February 14 , 2019 Today's Progress : Text Summarization (continuous) Day 97: February 15 , 2019 Today's Progress : Text Summarization (continuous) Day 98: February 16 , 2019 Today's Progress : Text Summarization (complete) Day 99: February 17 , 2019 Today's Progress : Word2Vec (continuous) Day 100: February 18 , 2019 Today's Progress : Word2Vec (Natural Language Processing) (complete) <-------------------------END ------------------------> 
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Typescript
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Facebook
Microsoft
Google
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D3
Tencent
