alokproc Goto Github PK
Name: Alok Yadav
Type: User
Company: https://www.urbanpro.com/alokyadav
Bio: Data Scientist,NLP practitioner,Computer Vision Freelance Data Science Trainer twitter.com/ProcAlok
Location: Mumbai
Name: Alok Yadav
Type: User
Company: https://www.urbanpro.com/alokyadav
Bio: Data Scientist,NLP practitioner,Computer Vision Freelance Data Science Trainer twitter.com/ProcAlok
Location: Mumbai
The Complete NLP Guide: Text to Context
📢 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.
100 days of algorithms
I want to solve a popular machine learning Data-set as a comprehensive workflow with python packages. After reading, you can use this workflow to solve other real problems and use it as a template to deal with machine learning problems.
Artificial Neural Network basics
Email Newsletter
A day to day plan for this challenge (50 Days of Machine Learning) . Covers both theoretical and practical aspects
This tutorial demonstrates the basic workflow for Deep Learning.You should be familiar with basic linear algebra,Python and the Jupyter Notebook editor. It also helps if you have a basic understanding of Machine Learning and classification.
This is a comprehensive ML workflow for regression methods, I have tried to help Fans of Machine Learning with how to face machine learning regression problems. and I think it is a great opportunity for who want to learn machine learning workflow with python completely.
360 view on ai/ml/dl applications
Trading with recurrent actor-critic reinforcement learning
Explained linear and non-linear Activation Function.
Deep Reinforcement Learning - Actor / Critic - Mountain Car
Advanced Lane Finding
Labs for Computer Vision
Course files for AI Introduction course
Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford, MIT, UC Berkeley.
A model that predicts the sentiment for a given Amazon review. This is a Naive Bayes model that utilizes NLP for pre-processing.
Artificial Neural Network for Regression and Classification using Keras and Tensorflow 2.0
Applied Deep Learning with Python, published by Packt
A step-by-step guide to get started with Applied Machine Learning
Repo for Applied Text Mining in Python (coursera) by University of Michigan
(MNA005A) Aprendizaje Automático Avanzado
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.