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š± Iām currently learning Deep learning Computer Vision And NLP
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š« How to reach me [email protected]
Name: Sanjay Jangid
Type: User
š± Iām currently learning Deep learning Computer Vision And NLP
š« How to reach me [email protected]
Answers to 120 commonly asked data science interview questions.
Email Newsletter
500 AI Machine learning Deep learning Computer vision NLP Projects with code
Repository of all Assigments of Advanced Python Programming of CDAC PG-DAI Course
Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.
This is Andrew NG Coursera Handwritten Notes.
A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.
:memo: An awesome Data Science repository to learn and apply for real world problems.
š§ A curated list of awesome dataset tools
A curated list of awesome Deep Learning tutorials, projects and communities.
Master programming by recreating your favorite technologies from scratch.
Case Studies and Projects in Machine Learning/EDA/DL
This repository contains the programs of Computer Vision subject of PG Diploma in Artificial Intelligence as CDAC
Cardio Good Fitness Case Study - Descriptive Statistics
CDAC Lab sessions for PG Diploma in Artificial Intelligence
Daily lab sessions of PGD-AI, CDAC INDIA
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
Programming assignments and quizzes from all courses within the Machine Learning Engineering for Production (MLOps) specialization offered by deeplearning.ai
Resources for Oreilly's "Cracking the Data Science Interview" video series.
Data Science Using Python
Collection of useful data science topics along with articles, videos, and code
Real data science interview assignments
Resoruce to help you to prepare for your comming data science interviews
Data science interview questions and answers
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.
Machine learning datasets used in tutorials on MachineLearningMastery.com
A declarative, efficient, and flexible JavaScript library for building user interfaces.
š 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. ššš
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 ā¤ļø Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.