Shubham Vijay Nigdikar's starred repositories
hottest-skills-in-data-science-da
A small survey on data science skills using dataasets
DataScienceResources
Open Source Data Science Resources.
data-engineer-roadmap
Roadmap to becoming a data engineer in 2021
zero-to-mastery-ml
All course materials for the Zero to Mastery Machine Learning and Data Science course.
PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
Classified-Data-Project-ML
Project on Classified Data
pandas_exercises
Practice your pandas skills!
Self-Driving-Car-Projects
Different Self Driving Car Projects
machine-learning-zoomcamp
Learn ML engineering for free in 4 months!
God-Level-AI
A collection of scientific methods, processes, algorithms, and systems to build stories & models.
500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
500 AI Machine learning Deep learning Computer vision NLP Projects with code
datascience
This repository is a compilation of free resources for learning Data Science.
data-science-projects
A Collection of Data Science/ML Projects
Data-Cleaning-Practical-Examples
Data Cleaning In Python and Julia with Practical Examples
tensorflow_tutorials
From the basics to slightly more interesting applications of Tensorflow
nlp-in-practice
Starter code to solve real world text data problems. Includes: Gensim Word2Vec, phrase embeddings, Text Classification with Logistic Regression, word count with pyspark, simple text preprocessing, pre-trained embeddings and more.
Flight-Price-Prediction
Now you can get Flight ticket fare with this wonderful end to end project.
deep-learning-keras-tensorflow
Introduction to Deep Neural Networks with Keras and Tensorflow
Python-Machine-Learning
Tutorials on Machine Learning and Deep Learning with Python
Python-Roadmap
Python Roadmap. Learn Python programming as your first programming language. Python for Absolute Beginners, Non-Tech Professionals, 15+ Projects, 30 Topics, 500+ Practice Questions, with Data Structures & Algorithms
Data-Science-Hackathon-And-Competition
Grandmaster in MachineHack (3rd Rank Best) | Top 70 in AnalyticsVidya & Zindi | Expert at Kaggle | Hack AI
LDATopicModelling
In this notebook i will be demonstarting Latent Dirchlet Allocation(LDA) for topic modelling. I will be using the Amazon fine food reviews dataset from Kaggle(https://www.kaggle.com/snap/amazon-fine-food-reviews) for performing LDA based topic modelling I will be using the gensim package for LDA topic modelling and pyLDAvis for visualization of LDA topic model