Pinned Repositories
120-Data-Science-Interview-Questions
Answers to 120 commonly asked data science interview questions.
500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
500 AI Machine learning Deep learning Computer vision NLP Projects with code
Advanced-Deep-Learning-with-Keras
Advanced Deep Learning with Keras, published by Packt
age-gender-estimation
Keras implementation of a CNN network for age and gender estimation
AI-Expert-Roadmap
Roadmap to becoming an Artificial Intelligence Expert in 2021
Bipolar-Factory
Project - Crawl popular websites & create a database of Indian movie celebrities containing their images and personality traits.
Face_Detection
Proof-Of-Concept-POC-Project
all projects related data-science, machine learning, deep learning, NLP, web scrapping, OpenCV
Python-Code
Python code using procedural as well as Object Oriented approach
vijaynchakole's Repositories
vijaynchakole/AITensorFlowSpecialization
My notes for coursera course AI TensorFlow in Practice Specialization.
vijaynchakole/all-of-statistics
Self-study on Larry Wasserman's "All of Statistics"
vijaynchakole/awesome-decision-tree-papers
A collection of research papers on decision, classification and regression trees with implementations.
vijaynchakole/awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
vijaynchakole/Complete-Python-3-Bootcamp
Course Files for Complete Python 3 Bootcamp Course on Udemy
vijaynchakole/data
An index of all open-source data
vijaynchakole/Data-Science-interview-questions-
data science interview questions company wise which include the data analyst , junior data scientist , machine learning engineer etc. position questions with their answers
vijaynchakole/datasets
🤗 The largest hub of ready-to-use NLP datasets for ML models with fast, easy-to-use and efficient data manipulation tools
vijaynchakole/dlaicourse
Notebooks for learning deep learning
vijaynchakole/fastapi-demo
vijaynchakole/football_analytics
⚽📊 A collection of football analytics projects, data, and analysis by Edd Webster (@eddwebster), including a curated list of publicly available resources published by the football analytics community.
vijaynchakole/generative-ai-for-beginners
18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
vijaynchakole/google-research
Google Research
vijaynchakole/handson-ml
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
vijaynchakole/homemade-machine-learning
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
vijaynchakole/ice_breaker
vijaynchakole/industry-machine-learning
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
vijaynchakole/interview-question-data-science-
vijaynchakole/Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
vijaynchakole/keras-yolo2
Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).
vijaynchakole/Machine-Learning-with-Python
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
vijaynchakole/ML-For-Beginners
12 weeks, 24 lessons, classic Machine Learning for all
vijaynchakole/NLP-Sentiment-Analysis
vijaynchakole/notebooks
Notebooks using the Hugging Face libraries 🤗
vijaynchakole/practical-statistics-for-data-scientists
Code repository for O'Reilly book
vijaynchakole/private-gpt
Interact with your documents using the power of GPT, 100% privately, no data leaks
vijaynchakole/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
vijaynchakole/PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
vijaynchakole/statsmodels
Statsmodels: statistical modeling and econometrics in Python
vijaynchakole/The-Complete-FAANG-Preparation
This repository contains all the DSA (Data-Structures, Algorithms, 450 DSA by Love Babbar Bhaiya, FAANG Questions), Technical Subjects (OS + DBMS + SQL + CN + OOPs) Theory+Questions, FAANG Interview questions, and Miscellaneous Stuff (Programming MCQs, Puzzles, Aptitude, Reasoning). The Programming languages used for demonstration are C++, Python, and Java.