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

Extensions and extras for tidy processing.

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

Atlantic - Automated Data Preprocessing Framework for Supervised 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 …

python package to encode protein using different methods for machine learning

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

Implementation of popular data preprocessing algorithms for Machine learning

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

50_startups_prj3 multiple linear regression practical

To predict whether booked appointment will be completed or it will be no show.

Classified images from the CIFAR-10 dataset. The dataset consists of airplanes, dogs, cats, and other objects. The dataset was preprocessed, then trained a convolutional neural network on all the samples. I normalized the images, one-hot encoded the labels, built a convolutional layer, max pool layer, and fully connected layer.

Data Preprocessing for Machine Learning

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

Implementation of decision tree from scratch along with analysis of its performance with different types of impurity measures

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