DsGhostPos3idon's repositories
Python-for-Probability-Statistics-and-Machine-Learning
Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"
streamlit_freecodecamp
Build 12 Data Apps in Python with Streamlit
Practical-Data-Science-on-the-AWS-Cloud-Specialization
@DeepLearning.AI Practical Data Science Specialization brings together these disciplines using purpose-built ML tools in the AWS cloud. It has helped me to develop the practical skills to effectively deploy your data science projects and overcome challenges at each step of the ML workflow using Amazon SageMaker.
practical-mlops-book-extended
Practical MLOps O'Reilly Book - Personal Extended Version
Udacity-Data-Engineering-Projects
Few projects related to Data Engineering including Data Modeling, Infrastructure setup on cloud, Data Warehousing and Data Lake development.
Udacity-Deep-Learning-Nanodegree
The course is contained knowledge that are useful to work on deep learning as an engineer. Simple neural networks & training, CNN, Autoencoders and feature extraction, Transfer learning, RNN, LSTM, NLP, Data augmentation, GANs, Hyperparameter tuning, Model deployment and serving are included in the course.
Software-Engineering-with-Python-3.x
Software Engineering with Python 3.x, published by Packt
aws-lambda-deploy
A collection of tools to enable canary deployments of AWS Lambda functions.
stats-testing-in-python
collection of ipython notebooks for "How to Analyse an Online Experiment in Python" tutorial
Learn_Data_Science_in_100Days
A step-by-step tutorial to learn Data Science
AWS-Machine-Learning-Scholarship-Program
This project focuses on best practices of object-oriented programming, AWS AI Services, AWS DeepLens, AWS DeepRacer, and AWS DeepComposer.
ml-app-salaryprediction
Salary Prediction Web App With Streamlit
Python-for-Probability-Statistics-and-Machine-Learning-2E
Second edition of Springer Book Python for Probability, Statistics, and Machine Learning
ML-Engineering
Reference code base for ML Engineering, Manning Publications
data_analysis_course
Tasks and projects solved while passing a Data Analysis course: Python, Pandas, Numpy, Seaborn, Google APIs, Git, Airflow, SQL, ClickHouse, PostgreSQL, Redash, Supersеt, Statistics, A/B-tests, Bootstrapping, Amplitude, Tableau, DAU, MAU, ARPU, LTV, Retention and other metrics.
RecommenderSystemsNotebooks
Set of notebooks analysing and discussing the ideas presented at Coursera's Recommender Systems course
Springboard-DataScienceTrack-Student
Springboard Program: Data Science Career Track - NLP
python_tricks
Notes from the book Python Tricks by Dan Bader
Hands-On-Generative-AI-with-Python-and-TensorFlow-2
Hands-On Generative AI with Python and TensorFlow 2, published by Packt
ml-design-patterns
Source code accompanying O'Reilly book: Machine Learning Design Patterns
Disaster-Response-NLP-Pipeline
End-to-end machine learning pipeline to classify disaster messages into 36 categories and a web app to deploy the trained model.
Ecommerce-Sales-Analysis
Customer Lifetime Value, Returns Predictions, Recommender system and sales analysis on UC Irvine online sales dataset.
ML_from_Scratch
Implementation of basic ML algorithms from scratch in python...
Hands-on-Reinforcement-Learning-with-PyTorch
Hands-on Reinforcement Learning with PyTorch, published by [Packt]
Sales-and-Marketing-Analytics
This repository consists of predicting dynamic pricing, churn predictions using sales and marketing data for understanding users' behaviour.
Python-Data-Science-Essentials-Third-Edition
Python Data Science Essentials - Third Edition, Published by Packt