Durgesh Samariya's Projects
A 100 Day DS Challenge to learn and implement DS concepts ranging from the beginner of Data Science to Data Scientist.
A 100 Day ML Challenge to learn and implement ML/DL concepts ranging from the basics of Machine Learning to advance Machine Learning.
Anomaly detection related books, papers, videos, and toolboxes
Clustering related books and research papers.
This repository contains best profile readme's for your reference.
Outlier detection related books and papers.
Azure CLI Cheatsheet
The complete FastAPI for Data Science Tutorial
This repo is specially created for all the work done by me as a part of Coursera's Machine Learning Course.
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 and Machine Learning projects with source code.
Roadmap to learn Data Science and related areas.
👨🏻💻 My GitHub profile intro
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Kaggle Kernels and Datasets (Python, Jupyter Notebooks)
A collection of LaTeX templates used for research, courses, and miscellanea.
A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.
Personal notes on markdown
Code of the solutions of the Mathematics for Machine Learning course taught in Coursera.