satyambhatt5
I am Satyam Bhatt. I am Working on Artificial Intelligence | Data Science | Machine learning,Data Engineering
MAHINDRA GROUP COMPANY New Delhi , India
satyambhatt5's Stars
vigneshSs-07/Cloud-AI-Analytics
This Repo contain details related to Data Engineering tech stacks in GCP
anjangcp/GCP-Data-Engineering-Demo-Codes
Demo Codes will be shared here
rkscodes/incident_intelligence
ELT (Extract, Load, Transform) process to fetch, load, and transform San Francisco Police Department incident data
PacktPublishing/Machine-Learning-Engineering-with-Python
Machine Learning Engineering with Python
statmike/vertex-ai-mlops
Google Cloud Platform Vertex AI end-to-end workflows for machine learning operations
dformoso/deeplearning-mindmap
A mindmap summarising Deep Learning concepts.
ml-tooling/best-of-ml-python
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
afshinea/stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
ptyadana/SQL-Data-Analysis-and-Visualization-Projects
SQL data analysis & visualization projects using MySQL, PostgreSQL, SQLite, Tableau, Apache Spark and pySpark.
bharathgs/Awesome-pytorch-list
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
ADsecu/GCP-resources
Google Cloud Platform - Videos(arabic-english)/Tutorials/Docs/codes ...
d0r1h/ML-University
Machine Learning Open Source University
avnyadav/Book
Nachimak28/awesome-list-of-awesomes
A curated list of all the Awesome --Topic Name-- lists I've found till date relevant to Data lifecycle, ML and DL.
d2l-ai/d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
khanhnamle1994/cracking-the-data-science-interview
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
cartershanklin/pyspark-cheatsheet
PySpark Cheat Sheet - example code to help you learn PySpark and develop apps faster
DopplerHQ/awesome-interview-questions
:octocat: A curated awesome list of lists of interview questions. Feel free to contribute! :mortar_board:
DataTalksClub/data-engineering-zoomcamp
Free Data Engineering course!
GokuMohandas/Made-With-ML
Learn how to design, develop, deploy and iterate on production-grade ML applications.
estella-zzz/sparkify_churn_prediction
aayushmnit/Algorithms
Algorithms implemented for algorithms course on Coursera
Python-World/python-mini-projects
A collection of simple python mini projects to enhance your python skills
srivatsan88/Mastering-Apache-Spark
This is repository of my YouTube Course on End to End Apache Spark in AIEngineering YouTube Channel
donnemartin/data-science-ipython-notebooks
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.
spark-examples/pyspark-examples
Pyspark RDD, DataFrame and Dataset Examples in Python language
jasmcaus/opencv-course
Learn OpenCV in 4 Hours - Code used in my Python and OpenCV course on freeCodeCamp.
eriklindernoren/ML-From-Scratch
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.
Nyandwi/machine_learning_complete
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
shap/shap
A game theoretic approach to explain the output of any machine learning model.