Python advanced datastructures
Functions and Lambda Expressions
Classes and Object-Oriented Programming (OOP)
Generators and Decorators
File Handling with JSON, CSV, and Text Files, Exception Handling
Introduction to
Advanced Data Manipulation with
Introduction to Data Visualization with Matplotlib
Advanced Data Visualization with Seaborn
Exploratory Data Analysis (EDA)
Data Cleaning And Core Analysis
Create Advanced Visualizations 📊
Modules and Packages
Python Metaprogramming (Dynamic Code)
Python Multithreading and Multiprocessing
DIVE INTO SQL: UNLEASHING DATA INSIGHTS WITH SELECT, WHERE, AND ORDER BY
Link: https://github.com/augustine-aj/75-Days-Challenge---DSML/blob/main/SQL%20Day%201-15/SQL-Day%201.pdf
Mastering SQL Joins in MySQL: Connecting Data Across Tables
Simple Guide to Aggregate Functions and GROUP BY in MySQL
Link: https://github.com/augustine-aj/75-Days-Challenge---DSML/blob/main/SQL%20Day%201-15/SQL-Day%203.pdf
Subqueries and Derived Tables in SQL: Unlock the Power of Nested Queries for Advanced Data Analysis!
Link: https://github.com/augustine-aj/75-Days-Challenge---DSML/blob/main/SQL%20Day%201-15/SQL-Day%204.pdf
Creating and Altering Tables in MySQL: Build and manage your database efficiently!
Indexing for Query Optimization in MySQL: SPEED UP YOUR QUERIES WITH THE POWER OF INDEXES!
STORED PROCEDURES AND FUNCTIONS IN MYSQL: OPTIMIZE AND SIMPLIFY YOUR SQL QUERIES
Link: https://github.com/augustine-aj/75-Days-Challenge---DSML/blob/main/SQL%20Day%201-15/SQL-Day%207.pdf
Triggers and Events in MySQL: Automate and Stremaline Database tasks.
Link: https://github.com/augustine-aj/75-Days-Challenge---DSML/blob/main/SQL%20Day%201-15/SQL-Day%208.pdf
Transaction Management & ACID Properties in MySQL Ensure data consistency and reliability in your database operations
Link: https://github.com/augustine-aj/75-Days-Challenge---DSML/blob/main/SQL%20Day%201-15/SQL-Day%209.pdf
Views and Their Applications in Data Analysis LeverageSQL views for efficientdata manipulation andanalysis.
Link: https://github.com/augustine-aj/75-Days-Challenge---DSML/blob/main/SQL%20Day%201-15/SQL-Day%2010.pdf
WINDOW FUNCTIONS FOR ADVANCED ANALYSIS IN SQL
Link: https://github.com/augustine-aj/75-Days-Challenge---DSML/blob/main/SQL%20Day%201-15/SQL-Day%2011.pdf
Mastering Common Table Expressions (CTEs) in MySQL
Link: https://github.com/augustine-aj/75-Days-Challenge---DSML/blob/main/SQL%20Day%201-15/SQL-Day%2012.pdf
MASTERING DATE AND TIME DATA HANDLING IN MYSQL
Link: https://github.com/augustine-aj/75-Days-Challenge---DSML/blob/main/SQL%20Day%201-15/SQL-Day%2013.pdf
FULL-TEXT SEARCH CAPABILITIES IN MYSQL
Link: https://github.com/augustine-aj/75-Days-Challenge---DSML/blob/main/SQL%20Day%201-15/SQL-Day%2014.pdf
Mastering JSON in MySQL: A Guide to Efficient Data Handling
Link: https://github.com/augustine-aj/75-Days-Challenge---DSML/blob/main/SQL%20Day%201-15/SQL-Day%2015.pdf
Introduction to Statistics and Descriptive Metrics
Percentiles, Quartiles, and Data Visualization
Probability Fundamentals and Basic Distributions
Conditional Probability and Bayes’ Theorem
The Normal Distribution and Central Limit Theorem (CLT)
Confidence Intervals and Hypothesis Testing Basics
Hypothesis Testing 2 – T-tests and Chi-Square Test
Correlation, Covariance, and Simple Linear Regression
Multiple Linear Regression and Logistic Regression
ANOVA and Resampling Techniques
Introduction to Machine Learning and Data Preprocessing
Link:https://github.com/augustine-aj/75-Days-Challenge---DSML/tree/main/Machine%20Learning/Day%201
Exploratory Data Analysis (EDA) Overview
Link:https://github.com/augustine-aj/75-Days-Challenge---DSML/tree/main/Machine%20Learning/Day%202
Supervised Learning - Linear Regression Basics
Link:https://github.com/augustine-aj/75-Days-Challenge---DSML/tree/main/Machine%20Learning/Day%203
Decision Trees: Explanation
Link:https://github.com/augustine-aj/75-Days-Challenge---DSML/tree/main/Machine%20Learning/Day%204
Supervised Learning - Model Evaluation
Link: https://github.com/augustine-aj/75-Days-Challenge---DSML/tree/main/Machine%20Learning/Day%205
Understanding Overfitting, Underfitting, and the Bias-Variance Trade-off
Link:https://github.com/augustine-aj/75-Days-Challenge---DSML/tree/main/Machine%20Learning/Day%206
Unsupervised Learning - Clustering Basics
Link: https://github.com/augustine-aj/75-Days-Challenge---DSML/tree/main/Machine%20Learning/Day%207
Feature Engineering and Feature Selection
Link:https://github.com/augustine-aj/75-Days-Challenge---DSML/tree/main/Machine%20Learning/Day%208
Advanced Clustering Techniques
Link:https://github.com/augustine-aj/75-Days-Challenge---DSML/tree/main/Machine%20Learning/Day%209
Introduction to Logistic Regression
Link:https://github.com/augustine-aj/75-Days-Challenge---DSML/tree/main/Machine%20Learning/Day%2010
Hyperparameter Tuning
Link:https://github.com/augustine-aj/75-Days-Challenge---DSML/tree/main/Machine%20Learning/Day%2011
Cross-Validation Techniques
Link:https://github.com/augustine-aj/75-Days-Challenge---DSML/tree/main/Machine%20Learning/Day%2012
Customer Churn Prediction Model
Link: https://github.com/augustine-aj/75-Days-Challenge---DSML/tree/main/Machine%20Learning/Day%2013
Model Deployment Basics
Link:https://github.com/augustine-aj/75-Days-Challenge---DSML/tree/main/Machine%20Learning/Day%2014
Advanced Model Optimization and Insights Presentation
Link:https://github.com/augustine-aj/75-Days-Challenge---DSML/tree/main/Machine%20Learning/Day%2015
Introduction to Deep Learning
Link:https://github.com/augustine-aj/75-Days-Challenge---DSML/tree/main/Deep%20Learning/Day%201
TensorFlow and Keras Basics
Link: https://github.com/augustine-aj/75-Days-Challenge---DSML/tree/main/Deep%20Learning/Day%202
Convolutional Neural Networks (CNN) Fundamentals
Link: https://github.com/augustine-aj/75-Days-Challenge---DSML/tree/main/Deep%20Learning/Day%203
Building my first CNN
Link:https://github.com/augustine-aj/75-Days-Challenge---DSML/tree/main/Deep%20Learning/Day%204
Model Evaluation and Debugging in Deep Learning
Link:https://github.com/augustine-aj/75-Days-Challenge---DSML/tree/main/Deep%20Learning/Day%205
Data Augmentation Techniques
Link:https://github.com/augustine-aj/75-Days-Challenge---DSML/tree/main/Deep%20Learning/Day%206
CNN Regularization
Link:https://github.com/augustine-aj/75-Days-Challenge---DSML/tree/main/Deep%20Learning/Day%207
Transfer Learning Basics
Link:https://github.com/augustine-aj/75-Days-Challenge---DSML/tree/main/Deep%20Learning/Day%208
Implement Transfer Learning with VGG16
Link: https://github.com/augustine-aj/75-Days-Challenge---DSML/tree/main/Deep%20Learning/Day%209
Implement Transfer Learning with VGG16
Link:https://github.com/augustine-aj/75-Days-Challenge---DSML/tree/main/Deep%20Learning/Day%2010
Hyperparameter Tuning in Deep Learning
Link:https://github.com/augustine-aj/75-Days-Challenge---DSML/tree/main/Deep%20Learning/Day%2011
Visualizing CNN Predictions
Link:https://github.com/augustine-aj/75-Days-Challenge---DSML/tree/main/Deep%20Learning/Day%2012
Model Deployment Preparation
Link: https://github.com/augustine-aj/75-Days-Challenge---DSML/tree/main/Deep%20Learning/Day%2013
Transfer Learning on a Different Dataset
Link: https://github.com/augustine-aj/75-Days-Challenge---DSML/tree/main/Deep%20Learning/Day%2014
Finalize Project Dataset. Clean, preprocess, and augment the Cats vs. Dogs dataset.
Link: https://github.com/augustine-aj/75-Days-Challenge---DSML/tree/main/Deep%20Learning/Day%2015
Train the Model - Train the CNN with the preprocessed dataset. Monitor and log performance during training.
Link: https://github.com/augustine-aj/75-Days-Challenge---DSML/tree/main/Deep%20Learning/Day%2016
Model Refinement
Link: https://github.com/augustine-aj/75-Days-Challenge---DSML/tree/main/Deep%20Learning/Day%2017
Evaluate and Test
LinK: https://github.com/augustine-aj/75-Days-Challenge---DSML/tree/main/Deep%20Learning/Day%2018
Insights and Documentation
Link: https://github.com/augustine-aj/75-Days-Challenge---DSML/tree/main/Deep%20Learning/Day%2019
Deploy the model using Flask/Streamlit
Link: https://github.com/augustine-aj/75-Days-Challenge---DSML/tree/main/Deep%20Learning/Day%2020