100DaysOfMLCode

challenge by Siraj Raval

First Day(Date:06/07/2018) : :

I wrote a program for predicting-coronary-heart-disease-with-tensorflow-and-tensorboard. (Binary Logistic Regression using Tensorflow) GitHub Page

Second Day(Date:07/07/2018) : :

Tried to design for Predicting neighbours word using Neural network ,refering a tutorial. (Neural Network) GitHub Page

Third Day(Date:08/07/2018) : :

Went through the college basic ML Tutorial and Wrote a code for SPAM & HAM Classification using Naive Bayes Method. GitHub Page

Fourth Day(09/07/2018) : :

TimeSeries analysis on international flight passengers data using LSTM (Tensorflow). GitHub Page

Fifth Day(10/07/2018) : :

Analysis & K-means clustering with Test Career Bowling DataSet"(R) &I got this dataset as an academics assignment GitHub Page

Sixth Day(11/07/2018) : :

Implementing a standard L2-regularized support vector machine (SVM) in primal form using tensorflow. credit:eakbas GitHub Page

Seventh Day(12/07/2018) : :

I have used CART algorithm for the Bank Note dataset for decision tree. It will show the average classification accuracy on each fold as well as the average performance across all folds. GitHub Page

Eight Day(13/07/2018) : :

The Backpropagation Algorithm in the wheat seeds Dataset.(From Scratch) Network with 5 neurons in the hidden layer and 3 neurons in the output layer. GitHub Page

Ninth Day(14/07/2018) : :

Extracting day,time and dates(that are in different pattern) from a sentence.(hackathon problem) GitHub Page

Tenth Day(15/07/2018) : :

The classification is to predict whether the client will subscribe to a term deposit or not using a banking dataset.(Logistic regression) GitHub Page

Eleventh Day(16/07/2018) : :

Implementing basic KNN algorithm(Non parametric Classification Algorithm) using Tensorflow. GitHub Page

Twelfth Day(17/07/2018) : :

K-Means Clustering using Python from Scratch. GitHub Page