This clustering based anomaly detection project implements unsupervised clustering algorithms on the NSL-KDD and IDS 2017 datasets

Implementation of popular data preprocessing algorithms for Machine learning

Atlantic: Automated Data Preprocessing Framework for Machine Learning

A python script to deploy One-Hot encoding in Pandas Dataframes

Extensions and extras for tidy processing.

Automatic Response Generation to Conversational Stimuli

Small tools for csv file processing (onehot encoding, format checking and converting to libsvm).

python package to encode protein using different methods for machine learning

Challenge 1: Agriculture Commodities, Prices & Seasons Aim: Your team is working on building a variety of insight packs to measure key trends in the Agriculture sector in India. You are presented with a data set around Agriculture and your aim is to understand trends in APMC (Agricultural produce market committee)/mandi price & quantity arrival …

A host of data science + machine learning projects with Python, pandas, scikit-learn and more!

This my entry for the Titanic competition on Kaggle. May 2019: public score is 0.80382, which is a top 10% ranking on the leader board of around 11.249 participants.

OneHotVector and K means

Value to Business :: Using this Regression model, the decision-makers will able to understand the properties of various products and stores which play an important and key role in optimizing the Marketing efforts and results in increased sales.

Data Preprocessing for Machine Learning

T20 World Cup Prediction System -- This GitHub repository contains the code for a T20 World Cup prediction system implemented in Python. The project utilizes popular libraries such as pandas, NumPy, and XGBoost for data manipulation, cleaning, and building predictive models.

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

This repository contains jupyter notebooks explaining the basics of TF and deep learning classification model using TF

This is in regard to algorithmic trading bot with the use of machine learning to predict potential returns and actual returns.