Farhad Davaripour, Ph.D.'s repositories
Stanford-CS229-Spring2023-Notes
CS229 course notes from Stanford University on machine learning, covering lectures, and fundamental concepts and algorithms. A comprehensive resource for students and anyone interested in machine learning.
Advanced_Data_Visualization_Tools
The present hands-on lab mainly uses Immigration to Canada dataset and employs advanced visualization tools such as word cloud, and waffle plot to display relations between features within the dataset.
Applied_ML_4_Dummies
This course was developed to teach ML from scratch up to TensorFlow and PyTorch implementation.
Dashboarding_with_Python
This repository presents step by step approach to create an interactive dashboard using the Dash and the Plotly graphing libraries. The analyses are carried on Airline Reporting Carrier On-Time Performance dataset from Data Asset eXchange
Data_Exploratory_Analysis
Data exploratory analysis on Nutrition Facts for McDonald's Menu
Machine_learning_with_python
The present notebook provides data analysis on several datasets using different machine learning (ML) techniques including supervised ML, unsupervised ML, and recommender system
Polynomial_Models_and_Regularization
This lecture covers polynomial regression for complex relationships and regularization techniques to prevent overfitting, emphasizing model sophistication and generalizability.
Python-for-Data-Science-AI-Development
In this repository, a few hands-on practice learning labs for data science are presented. These labs are built as a part of IBM Data Science Professional Certificate. The IBM Data Science program consists of 10 online courses that will provide the most updated tools and skills including open source tools and libraries, Python, databases, SQL, data visualization, data analysis, statistical analysis, predictive modelling, and machine learning algorithms. The skeleton of the labs is provided within the online courses.
Recommender_System_Distilled_Notes
A curated collection of essential notes on recommender systems, distilled for quick insights and easy understanding.
SpaceX_First_Stage_Data_Analysis
SpaceX is a well-known private company famous for several historic milestones in launching rockets and successfully returning the first stage. Due to the importance of successful first stage landing, the present work uses Machine Learning (ML) models to predict the outcome of the first stage landing.
Step_by_Step_Data_Analysis_Auto_Dataset
step by step approach for data wrangling, descriptive statistical analysis, predictive analysis, model development, model evaluation, and decision making.
CFRP_Reinforced_HDD_overbend
This project employs machine learning and synthetic dataset to predict the peak equivalent stress imposed on a CFRP wrapped HDD overbend
Linear_regression_Core_Principles
Building a Linear Regression Model from scratch.
NLP_Distilled_Notes
In this repository, I've consolidated my summarized notes from various NLP (Natural Language Processing) topics that I've reviewed.
Leet_Code
Practicing Leet Code examples.