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Amazing Feature Engineering ⭐ 485

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

50 Days Of Statistics For Data Science ⭐ 15

This repository consist of a 50-day program. All the statistics required for the complete understanding of data science will be uploaded in this repository.

Exemplary Ml Pipeline ⭐ 14

Exemplary, annotated machine learning pipeline for any tabular data problem.

Machine Learning ⭐ 14

This repository is a related to all about Machine Learning - an A-Z guide to the world of Data Science. This supplement contains the implementation of algorithms, statistical methods and techniques (in Python), Feature Selection technique in python etc. Follow Coursesteach for more content

Diamonds In Depth Analysis ⭐ 12

Given dataset of Diamonds with features such as Cut, Carat, Clarity etc. I have used libraries such as Pandas, Numpy, Matplotlib, Seaborn to Analyse and Estimate the Price of Diamonds based on the features. Using Scikit-Learn , implemented Algorithms to increase the effective R2 score.

Data Science Portfolio ⭐ 7

Data Science Portfolio created for academic and personal projects.

Machine Learning Notebooks

Stock Market Prediction ⭐ 6

An attempt to predict the Stock Market Price using Long Short Term memory and plot its chart. By tweaking different hyper parameters, we get different trained models. The aim of this project is to identify the relation hidden in these hyper parameters.

Machine Learning In Python ⭐ 5

Machine learning algorithms repository

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