jubinmehta08 Goto Github PK

10-steps-to-become-a-data-scientist

📢 Ready to learn! you will learn 10 skills as data scientist:📚 Machine Learning, Deep Learning, Data Cleaning, EDA, Learn Python, Learn python packages such as Numpy, Pandas, Seaborn, Matplotlib, Plotly, Tensorfolw, Theano...., Linear Algebra, Big Data, Analysis Tools and solve some real problems such as predict house prices.

100daysofmlcode

amexpert-2018-machine-learning-hackathon-av

American Express and Analytics Vidhya presents “AmExpert”. An amazing opportunity to showcase your analytical abilities and talent.

applied-data-science-with-python

University of Michigan

applied-machine-learning

A step-by-step guide to get started with Applied Machine Learning

artificial-intelligence-deep-learning-machine-learning-tutorials

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! 😀)

automated-feature-engineering

Automated feature engineering in Python with Featuretools

av-game-of-deep-learning

Game of Deep Learning Hackathon hosted by AV. A chance to win tickets to DataHack Summit 2019 and job opportunities with Analytics Vidhya.

chatbot

Chatbot applications

chatterbot

ChatterBot is a machine learning, conversational dialog engine for creating chat bots

data-science--cheat-sheet

Cheat Sheets

data-science-cheatsheet

datascienceunitec

deep-learning-specialization

deeplearning.ai

deploying-machine-learning-models

Example Repo for the Udemy Course "Deployment of Machine Learning Models"

islr-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

learn-scikit-learn-github-jupyter

There are plenty of courses and tutorials that can help you learn Scikit-Learn from scratch, you can use this workflow to solve other real problems and use it as a template to deal with machine learning problems.

machine-learning-coursera-assignment

Assignments

machine-learning-with-python

Python codes for common Machine Learning Algorithms

machine-learning-workflow-with-python

This is a comprehensive ML techniques with python: Define the Problem- Specify Inputs & Outputs- Data Collection- Exploratory data analysis -Data Preprocessing- Model Design- Training- Evaluation

ml-cheatsheet

Machine learning cheatsheet

ml-projects

ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian in Python

nlp-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

nlp-with-python

Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more

portfolio

Description of all my portfolios and accounts

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.

recommender-system

Recommendation Engine

scikit-learn

scikit-learn: machine learning in Python

serverless-application-model

AWS Serverless Application Model (SAM) is an open-source framework for building serverless applications

sql-server-samples

Azure Data SQL Samples - Official Microsoft GitHub Repository containing code samples for SQL Server, Azure SQL, Azure Synapse, and Azure SQL Edge