Pinned Repositories
10-steps-to-become-a-data-scientist
📢 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.
Advance-Machine-Learning
Advanced-Machine-Learning-Specialization
Advanced Machine Learning Specialization on Coursera
AV--Club-Mahindra-DataOlympics
Top 7% Solution for AV club Mahindra DataOlympics
AV-ML-Hikeathon
Kaggle-New-York-Taxi-Fare-Prediction
Top 4% on Kaggle Leaderboard
LTFS-Data-Science-Finhack---Anlytics-Vidhya
34th (Top 3%) Rank Solution for LTFS Data Science FinHack ( ML Hackathon).
Macinehack-Flight-Ticket-Price-Hackathon
ML
Python-for-Algorithms--Data-Structures--and-Interviews
Files for Udemy Course on Algorithms and Data Structures
sk48880's Repositories
sk48880/LTFS-Data-Science-Finhack---Anlytics-Vidhya
34th (Top 3%) Rank Solution for LTFS Data Science FinHack ( ML Hackathon).
sk48880/Kaggle-New-York-Taxi-Fare-Prediction
Top 4% on Kaggle Leaderboard
sk48880/ML
sk48880/An-Introduction-to-Statistical-Learning
This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.
sk48880/AV--Club-Mahindra-DataOlympics
Top 7% Solution for AV club Mahindra DataOlympics
sk48880/Macinehack-Flight-Ticket-Price-Hackathon
sk48880/AV-WNS-Analytics-wizard-2019
sk48880/bayes_tutorial_2019
Introductory overview of Bayesian inference
sk48880/berkeley-stat-157
Homepage for STAT 157 at UC Berkeley
sk48880/Data-Science--Cheat-Sheet
Cheat Sheets
sk48880/deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
sk48880/deep-learning-v2-pytorch
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
sk48880/deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
sk48880/generative-ai-for-beginners
12 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
sk48880/handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
sk48880/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
sk48880/machine-learning-1
Content for Udacity's Machine Learning curriculum
sk48880/mlcourse.ai
Open Machine Learning Course
sk48880/NLP-Exercises
sk48880/NLP-Models-Tensorflow
Gathers machine learning and Tensorflow deep learning models for NLP problems.
sk48880/numerical-linear-algebra
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
sk48880/Practical_DL
DL course co-developed by HSE, YSDA and Skoltech
sk48880/Practical_RL
A course in reinforcement learning in the wild
sk48880/practicalAI
📚 A practical approach to machine learning.
sk48880/PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
sk48880/pytorch-nlp-tutorial-ny2019
Deep Learning and Natural Language Processing using PyTorch (O'Reilly AI - NYC, 2019)
sk48880/statsmodels
Statsmodels: statistical modeling and econometrics in Python
sk48880/tf2_course
Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course
sk48880/ThinkStats2
Text and supporting code for Think Stats, 2nd Edition
sk48880/WNBA_Teams_Clustering
Using K-Means Clustering to Design the Best Teams of WNBA Players of All Time, and Simulating a Data-Driven Game Btwn the Top Two Teams