vaishalilambe

Day-12-ML-Algorithm-Random-Forest

Day-15-ML-Algorithms-Extreme-Gradient-Boosting

Team7_Santander_Product_Recommendation

Day-14-Statistics-Distribution

Day-17-ML-Algorithms-Support-Vector-Machine

Healthcare_Data_Projects

ML-Algorithms-Linear-Regression

Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! 😀)

Data-Visualization-using-Bokeh-and-Plotly

Data-Visualization-using-Python-Matplotlib-and-Seaborn

Day-11-ML-Algorithms-Decision-Trees

Day-16-ML-Algorithms-k-means-clustering

Deep-Neural-Networks-HealthCare

Tangible and Practical Deep Learning Projects Repository for Healthcare such as Cancer, Drug Discovery, Genomic and More

Dog_Breed_Identification

Eye-Overview

generative-ai-for-beginners

12 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

Google_Landmark_Retrieval

HireArt

JupyterWorkflow

Reproducible Data Analysis Workflow in Jupyter

ML-Algorithms-Bayesian-Inferences-using-MCMC

ML-Algorithms-Logistic-Regression

ML-Algorithms-Naive-Bayes-Classifiers

NLP-Basics--Data-Cleaning-Pipeline

NLP-spaCy

OCT-datasets-with-fundus-images

PythonDataScienceHandbook

Python Data Science Handbook: full text in Jupyter Notebooks

scikit-learn

scikit-learn: machine learning in Python

sklearn_tutorial

Materials for my scikit-learn tutorial

Statistics-Maximum-Likelihood-Estimation

Vectorization