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book-recommendation-engine

cheatsheets

crud-terminal-implementation

feature-encoding-techniques

Many machine learning algorithms are good with numerical data that is why it is very essential to covert the categorical data to numerical data through feature encoding techniques.

feature-scaling

Feature scaling is an important steps for certain algorithms to improve their accuracy. Learn what are those scaling techniques and how to apply them.

freecodecamp-responsive-web-design-course-projects

Freecodecamp's Responsive Web Design course has 5 projects. These projects were tested on codepen. Here, I've included all the source code for the projects.

freecodecamp-scientific-computing-with-python-course-projects

Freecodecamp's Scientific Computing with Python course has 5 projects. All of these projects were written and tested on replit.

hamzansariii

handling-missing-data

Know about all the different techniques to handle missing data to make better ML models.

ia

interactive-analysis-web-app

This interactive web analysis application deployed on the Heroku PAAS platform . Summer Olympics data from Kaggle has been analysed, and important conclusions have been drawn from the data.

javascript-car-game

peer-to-peer-chat

principle-component-analysis

To reduce the curse of dimensionality one way is to do feature extraction, of which the PCA technique is a famous and effective one.

python-basic_projects

python-crash-course-book-solutions

Python Crash Course by Eric Matthes, is one of the fantastic books for learning python as a beginner. This repo has my own solution to the problems mentioned after each chapter.

recommender-system

An integrated end-to-end ML model with a website that suggests books to a user based on how other users have rated the books.

registration-with-mern

slr-fyp

static-website

techie-just read it, a static website is build using html, css, bootstrap and hosted on live server extension on vscode. There is a preview video link mentioned in the readme which can give you an overview.

throneout

titanic-survival-prediction

[In the top 20 percent of the Kaggle competition] To predict the survival of passengers on the Titanic, a classification model was developed with the  Implementation of Sklearn-Pipeline for feature engineering and model construction using ColumnTransformer.

webrtc-video-call-application

Video chatting web app