alpeshpatil34

Config files for my GitHub profile.

awesome-readme

A curated list of awesome READMEs

aws-modern-application-workshop

A tutorial for developers that want to learn about how to build modern applications on top of AWS. You will build a sample website that leverages infrastructure as code, containers, serverless code functions, CI/CD, and more.

best-readme-template

An awesome README template to jumpstart your projects!

commit-tests

credit-card-fraud-detection

fetal-health-classification

Classification of Fetal Health using ML architectures

gdp-and-life-expectancy

Data visualisation and insights with Python.

gtzan.keras

[REPO] Music Genre classification on GTZAN dataset using CNNs

heartdiseaseprediction

Heart disease prediction on an open data set using 3 ML techniques

imageai

A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

kats

Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.

lazypredict-and-pyforest

Python Libraries that save A LOT OF TIME.

livesteamdatascraping

moody-credit-rating-prediction

music-genre-classification

Cumulative Analysis of methods used for classifying Music.

music-genre-classification-gtzan

numberguessinggame

First C# Project - Basic Number Guessing Game.

pegasus

pharma-sales-data-forecasting

practical-machine-learning-with-python

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

simple_web_scraper

Simple web scraper using a little bit of regex to obtain a list of books and authors

sqlprojectworldpop

Accessing database using MySQL queries for analysis of the World Population Database.

table-detection-and-extraction

teersdt

twitter-sentiment-analysis-classical-approach-vs-deep-learning

This project's aim, is to explore the world of Natural Language Processing (NLP) by building what is known as a Sentiment Analysis Model. We will be implementing and comparing both a Naïve Bayes and a Deep Learning LSTM model.

usage-funnel-warby-parker-sql

youtube-comment-scraping

Scraping comments for further Analysis.

zumrudu-anka

🐲 GitHub Profile Readme