Introduction to Data Science
Data Science with R
Python in Data Science
Normal Distribution
Hypothesis Testing
Logistic Regression
K-Means Clustering
t-SNE
Apriori Algorithm
EDA Class
Regularization models
Preliminaris
Neural Networks
Vanishing gradient
Natural language processing
TF-IDF vectors
word embed
Encoder Decoder SEQ
Tensor - Introduction
Llama Index and Long Chain
Gemini
Image Classification (Media Pipe Studio)
Tomato
Image NET
Audio Classification EDA
FLAMA and LUX
EvalML and Shapesh Model Overview
Annual Water Usage in Baltimore
Forecasting in different methods
Survival analysis
SCRUM
Account opening - JIRA
Recommender system
