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Name: SankeytMehta
Type: User
Name: SankeytMehta
Type: User
Slides and talk assets from PyCon 2017
In 1998, the Adventure Works Cycles company collected a large volume of data about their existing customers, including demographic features and information about purchases they have made. The company is particularly interested in analyzing customer data to determine any apparent relationships between demographic features known about the customers and the likelihood of a customer purchasing a bike. Additionally, the analysis should endeavor to determine whether a customer's average monthly spend with the company can be predicted from known customer characteristics.
:memo: An awesome Data Science repository to learn and apply for real world problems.
A curated list of awesome Deep Learning tutorials, projects and communities.
This is complete course of Seaborn.
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Deep Learning Specialization by Andrew Ng on Coursera.
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
Code and slides for the "Deep Learning (For Audio) With Python" course on TheSoundOfAI Youtube channel.
Kaggle's competition for using Google's word2vec package for sentiment analysis
TensorFlow Basic Tutorial Labs
Dive into Machine Learning with Python Jupyter notebook and scikit-learn!
HackerRank Solutions in Python3
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications
This repo is specially created for all the work done my me as a part of Coursera's Machine Learning Course.
A collection of machine learning examples and tutorials.
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
Created new repository for ML with Python
Recipes for using Python's pandas library
Practice your pandas skills!
Training workshops for Power BI.
Uploads of the Power BI files related to the youtube videos
Principles of Machine Learning Python
A place to publically host files I need a URL for.
The "Python Machine Learning (2nd edition)" book code repository and info resource
This repository contains the draft PDF copies of the book: The 100 Page Machine Learning Book
The Jupyter Notebooks behind my OReilly report, "A Whirlwind Tour of Python"
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.