This is a collection of my projects completed for my certification in AI/ML from UT-Austin.
Fundamentals:
Course 1: Fundamentals of AI
Project 1: CardioGoodFitness
Topics Covered:
Python Fundamentals
Python for Data Science
Data Visualization and EDA
Machine Learning Courses:
Course 2: Regression
Project 2: Cars4U
Topics Covered:
Linear Regression
Data Preprocessing
Course 3: Classification
Project 3: Bancassurance
Topics Covered:
Logistic Regression
Decision Tree Classifiers
GridSearch Algorithms
Course 4: Ensemble Techniques
Project 4: Travel Package Purchase Protection
Topics Covered:
Bagging
Random Forest
Boosting
Course 5: Feature Selection, Model Selection, and Tuning
Project 5: Credit Card Users Churn Prediction
Topics Covered:
Regularization
Feature Engineering
Handling Imbalanced Data
Course 6: Unsupervised Learning
Project 6: AllLife_Bank_Customer_Segmentation
Topics Covered:
K means Clustering
Hierarchical Clustering
PCA
Deep Learning Courses:
Course 7: Introduction to Neural Networks
Project 7: Bank_Churn_Prediction
Topics Covered:
Pre-work for Deep Learning
Intro to ANN, Tensorflow, and Keras
Building Blocks of ANN
Course 8: Introduction to Computer Vision
Project 8: COVID-19 Image Classification
Topics Covered:
Pre-Work for CNN
Intro to CNN - Working with Images
Transfer Learning
Course 9: Introduction to Natural Language Processing
Project 9: Twitter US Airline Sentiment
Topics Covered:
Intro to NLP- Working with Text Data
Sentiment Analysis