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Name: Harshad Patil
Type: User
Location: Bengaluru
Name: Harshad Patil
Type: User
Location: Bengaluru
📢 Ready to learn or review your knowledge! You will learn 10 skills as data scientist: 📚 Python, Machine Learning, Deep Learning, Data Cleaning, EDA, 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.
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Django real estate website
Sample code for the Microsoft Cognitive Services Speech SDK
Python SDK for the Microsoft Speaker Recognition API, part of Cognitive Services
:bar_chart: Path to a free self-taught education in Data Science!
An open source Data Science repository to learn and apply towards solving real world problems.
List of Data Science and Machine Learning Resource that I frequently use
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.
Ways of doing Data Science Engineering and Machine Learning in R and Python
common data analysis and machine learning tasks using python
Open Source Data Science Resources.
This repository contains the lab files for Microsoft course DAT236x: Deep Learning Explained
Free resources for learning data science
Hands-On Data Science and Python Machine Learning, published by Packt
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
A collection of pdfs and ebooks about Operating Systems, Machine Learning, Cloud System Adminstration etc.
A complete daily plan for studying to become a machine learning engineer.
This repository would contain working machine learning programs developed in Python. I will make use of various open source datasets available over the internet.
A curated list of awesome machine learning frameworks, libraries, courses, books and many more.
List of books and other resources that are related to deep learning
machine learning and deep learning tutorials, articles and other resources
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
A collection of machine learning examples and tutorials.
Microsoft Cognitive Services - Sample Code
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.
Open Machine Learning Course
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.