Analysis of the Restaurant reviews by using the Naive Bayes & the Random Forests Algorithms

A company invest lot on employee to train them and make them ready for next generation business. Once you invest in skill enhancement of an employee you need to use it for benefit of business. Employee may be agitated even if they are being paid well as human have aspiration and if aspiration is fulfilled then they perform to their maximum capab…

Set of R codes on Data Cleaning , Analysis and Interpretation. Running Linear and Logistic Regressions and doing classification in R.

Classes for initial evaluation of scikit-learn predictors.

Imagine you are the front runner for democratic party primaries in 2008 - 1 week into elections you have won a few states(Obama) and your opponent (Hillary) is catching up. How you can use analytics to predict which of the remaining seats will you win using demographic data from states you won and lost. Can we accurately classify win or lose for…

An Artificial Neural Network with weight decay created using python using the Numpy library which can read handwritten digits. Uses K-Folds cross validation for training the Neural Network.

A simple implementation for K nearest neighbor algorithm with k-fold cross-validation.

Employed hyper-parameter tuning (Gridsearch CV) and ensemble methods (Voting Classifier) to combine the results of the best models. Data Cleaning and Exploration using Pandas. Stratified Cross Validation to model and validate the training data

Predicts gender of an author based on syntactic constructions of their tweets

Classify pictures by architectural style and recognize objects with CNNs and YOLO

Code for Intro to ML Midterm 2

Implementation scripts of Machine Learning algorithms on Scikit-learn and Keras for complete novice..

DNN model to predict US city population

Predicted the survival of the Titanic passengers using Machine Learning Algorithms (Kaggle Challenge)

Applied Regularisation techniques(Ridge+Lasso) and observed improvement in regression algorithm.It also contain two promising cross validation technique.

Progetto di Intelligenza artificiale sugli alberi di decisione con valori mancanti.

Machine Learning Algorithms

A Python script that implements Machine Learning Algorithm to predict if a female is affected by Breast Cancer after considering a certain set of features. The credit of the Dataset goes to UCI Repository of ML.