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100daysofmlcode

100 Days of ML Code, Including all machine learning related algorithms and processes explained with jupyter notebooks.

ai-fundamentals

ai-fundamentals-updated

ai-in-analytics

amazing-python-scripts

🚀 Curated collection of Amazing Python scripts from Basics to Advance with automation task scripts.

aoai-gptfunctioncalling-stock

Use of Function Calling with Azure OpenAI GPT models to retrieve the lowest and highest stock prices for specific symbol and date.

artificial-neural-networks-with-jupyter

Artificial Neural Networks - Gradient descent, BFGS, Regularization with Jupyter notebook

azuremlworkshop

Azure Machine Learning Service - Hands-on Workshop

basic-statistics-with-python

Introduction to statistics featuring Python. This series of lecture notes aim to walk you through all basic concepts of statistics, such as descriptive statistics, parameter estimations, hypothesis testing, ANOVA and etc. All codes are straightforward to understand.

building-large-language-model-applications

Building Large Language Model Applications, Published by Packt

chatgpt-python-applications

ChatGPT Python Applications integrated with third party libraries and modules

computer-vision-and-image-processing-using-python

data-analysis-using-pandas

data-preprocessing

Data preprocessing is a data mining technique that involves transforming raw data into an understandable format.

data-science-on-gcp

Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017

data-visualization-using-power-bi

data-visualization-with-python

Data Visualization Tutorial | Matplotlib | Seaborn | Pandas

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deeplearningai-langchain-appdevelopment

Practical Jupyter notebooks from Andrew Ng and Harrison Chase's "LangChain for LLM Application Development" course on DeepLearning.AI.

digital-image-processing

This is a course depository from K. N. Toosi University of Technology. The course is Digital Image Processing taught by Dr. Yasser Maqsoudi and Seyed Ali Ahmadi in geomatics faculty of K.N.T. University of technology. The course material is currently uploaded in Google Classroom, but we are considering to distribute some of the material here for pu

diplib

Quantitative Image Analysis in C++, MATLAB and Python

dl-fundamentals

Deep Learning Fundamentals -- Code material and exercises

eda-on-data-science-job-salaries

Repo for Exploratory Data Analysis using dataset of Data Science Job Salaries

exploratory-analysis-of-data

fundamentals-of-machine-learning-and-deep-learning-in-python-using-scikit-learn-keras-and-tensorflo

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

generative-ai-llm-notebooks

getting-things-done-with-pytorch

Jupyter Notebook tutorials on solving real-world problems

hands-on-data-analysis-with-pandas-2nd-edition

Materials for following along with Hands-On Data Analysis with Pandas – Second Edition

homemade-machine-learning

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

ibm-data-science-professional-certification

This repository contains all the resources and solution to quizzes given and asked in IBM Data Science Professional Certification.