Nishit's repositories
Fake_News_Detection
Fake News Detection in Python
Data-Science-and-Machine-Learning-Resources
List of Data Science and Machine Learning Resource that I frequently use
predicting-age-of-abalone-using-regression
Predicting the age of abalone using multiple regression in R
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
machine-learning-interview
Machine Learning Interviews from FAAG, Snapchat, LinkedIn.
100-pandas-puzzles
100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)
applied-ml
đź“š Papers & tech blogs by companies sharing their work on data science & machine learning in production.
CtCI-6th-Edition-Python
Cracking the Coding Interview 6th Ed. Python Solutions
Data-Science-Toolbox
Examples and illustration of basic statistic concepts, probability distribution, Monte Carlo simulation, preprocessing and visualization techniques, and statistical testing.
google-cloud
Google Cloud Demos and Scripts
machine-learning-1
:earth_americas: machine learning tutorials (mainly in Python3)
nyc-taxi-data-analysis
Analysis of human behaviour in NYC using taxi data
pandas-videos
Jupyter notebook and datasets from the pandas Q&A video series
pattern_classification
A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks
vertex-ai-mlops
Google Cloud Platform Vertex AI end-to-end workflows for machine learning operations
google-cloud-python
Google Cloud Client Library for Python
ctci-solutions
Python solutions to Cracking the Coding Interview (6th edition)
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.
data-science-on-gcp
Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017
jupyter
Jupyter metapackage for installation, docs and chat
pycon-2019-tutorial
Data Science Best Practices with pandas
simpletransformers
Transformers for Classification, NER, QA, Language Modelling, Language Generation, Multi-Modal, and Conversational AI
system_design
Preparation links and resources for system design questions
transformers
🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.
video-classification
Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101