Skip to content

augustine-aj/75-Days-Challenge---DSML

Repository files navigation

75-Days-Challenge---DSML

PYTHON

DAY 1

Python advanced datastructures

link : https://github.com/augustine-aj/75-Days-Challenge---DSML/blob/main/Day%201%20-%20Data%20Structures.ipynb

DAY 2

Functions and Lambda Expressions

Link: https://github.com/augustine-aj/75-Days-Challenge---DSML/blob/main/Python%20Day%201-5/Day%202%20-%20Functions.ipynb

DAY 3

Classes and Object-Oriented Programming (OOP)

Link: https://github.com/augustine-aj/75-Days-Challenge---DSML/blob/main/Python%20Day%201-5/Day%203%20-%20Class%2C%20OOPS.ipynb

DAY 4

Generators and Decorators

Link: https://github.com/augustine-aj/75-Days-Challenge---DSML/blob/main/Python%20Day%201-5/Day%204%20-%20Generators%20And%20Decorators.ipynb

DAY 5

File Handling with JSON, CSV, and Text Files, Exception Handling

Link: https://github.com/augustine-aj/75-Days-Challenge---DSML/blob/main/Python%20Day%201-5/Day%205%20-%20%20File%20Handling%20with%20JSON%20and%20CSV%2C%20Exception%20Handling.ipynb

DAY 6

Introduction to

Link: https://github.com/augustine-aj/75-Days-Challenge---DSML/tree/main/Data%20Manipualation%20And%20Visualisation%20Day%206%20-%2010

DAY 7

Advanced Data Manipulation with

Link: https://github.com/augustine-aj/75-Days-Challenge---DSML/blob/main/Data%20Manipualation%20And%20Visualisation%20Day%206%20-%2010/Day%207%20-%20Advanced%20Data%20Manipulation%20with%20Pandas.ipynb

DAY 8

Introduction to Data Visualization with Matplotlib

Link: https://github.com/augustine-aj/75-Days-Challenge---DSML/blob/main/Data%20Manipualation%20And%20Visualisation%20Day%206%20-%2010/Day%208%20-%20Introduction%20to%20Data%20Visualization%20with%20Matplotlib%20(2).ipynb

DAY 9

Advanced Data Visualization with Seaborn

Link: https://github.com/augustine-aj/75-Days-Challenge---DSML/blob/main/Data%20Manipualation%20And%20Visualisation%20Day%206%20-%2010/Day%209%20-%20%20Advanced%20Data%20Visualization%20with%20Seaborn.ipynb

DAY 10

Exploratory Data Analysis (EDA)

Link: https://github.com/augustine-aj/75-Days-Challenge---DSML/blob/main/Data%20Manipualation%20And%20Visualisation%20Day%206%20-%2010/Day%2010%20-%20Exploratory%20Data%20Analysis%20(EDA)%20Project.ipynb

DAY 11

Data Cleaning And Core Analysis

LinK: https://github.com/augustine-aj/75-Days-Challenge---DSML/blob/main/Data%20Cleaning%20and%20Core%20Analysis/Day%2011%20-%20Data%20Cleaning%20and%20Core%20Analysis.ipynb

DAY 12

Create Advanced Visualizations 📊

Link: https://github.com/augustine-aj/75-Days-Challenge---DSML/blob/main/Data%20Cleaning%20and%20Core%20Analysis/Day%2012%20-%20Create%20Advanced%20Visualizations.ipynb

DAY 13

Modules and Packages

Link: https://github.com/augustine-aj/75-Days-Challenge---DSML/blob/main/Data%20Cleaning%20and%20Core%20Analysis/Day%2013%20-%20Python%20Modules%20and%20Packages.ipynb

DAY 14

Python Metaprogramming (Dynamic Code)

Link: https://github.com/augustine-aj/75-Days-Challenge---DSML/blob/main/Data%20Cleaning%20and%20Core%20Analysis/Day%2014%20-%20Python%20Metaprogramming%20(Dynamic%20Code).ipynb

DAY 15

Python Multithreading and Multiprocessing

Link: https://github.com/augustine-aj/75-Days-Challenge---DSML/blob/main/Data%20Cleaning%20and%20Core%20Analysis/Day%2015%20-%20Python%20Multithreading%20and%20Multiprocessing.ipynb

SQL

DAY 16

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

DAY 17

Mastering SQL Joins in MySQL: Connecting Data Across Tables

Link: https://github.com/augustine-aj/75-Days-Challenge---DSML/blob/main/SQL%20Day%201-15/SQL%20Day%20-%202.pdf

DAY 18

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

DAY 19

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

DAY 20

Creating and Altering Tables in MySQL: Build and manage your database efficiently!

Link: https://github.com/augustine-aj/75-Days-Challenge---DSML/blob/main/SQL%20Day%201-15/Day%2020%20-%20SQL%205.pdf

DAY 21

Indexing for Query Optimization in MySQL: SPEED UP YOUR QUERIES WITH THE POWER OF INDEXES!

Link: https://github.com/augustine-aj/75-Days-Challenge---DSML/blob/main/SQL%20Day%201-15/%20SQL%20-%20Day%206.pdf

DAY 22

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

DAY 23

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

DAY 24

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

DAY 25

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

DAY 26

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

DAY 27

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

DAY 28

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

DAY 29

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

DAY 30

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

DAY 31

Introduction to Statistics and Descriptive Metrics

Link: https://github.com/augustine-aj/75-Days-Challenge---DSML/tree/main/Basics%20Statistics%20ML%2C%20DL/Day%201

DAY 32

Percentiles, Quartiles, and Data Visualization

Link: https://github.com/augustine-aj/75-Days-Challenge---DSML/tree/main/Basics%20Statistics%20ML%2C%20DL/Day%202

Day 33

Probability Fundamentals and Basic Distributions

Link: https://github.com/augustine-aj/75-Days-Challenge---DSML/tree/main/Basics%20Statistics%20ML,%20DL/Day%203

Day 34

Conditional Probability and Bayes’ Theorem

Link: https://github.com/augustine-aj/75-Days-Challenge---DSML/tree/main/Basics%20Statistics%20ML,%20DL/Day%204

Day 35

The Normal Distribution and Central Limit Theorem (CLT)

Link: https://github.com/augustine-aj/75-Days-Challenge---DSML/tree/main/Basics%20Statistics%20ML,%20DL/Day%205

Day 36

Confidence Intervals and Hypothesis Testing Basics

Link: https://github.com/augustine-aj/75-Days-Challenge---DSML/tree/main/Basics%20Statistics%20ML,%20DL/Day%206

Day 37

Hypothesis Testing 2 – T-tests and Chi-Square Test

Link: https://github.com/augustine-aj/75-Days-Challenge---DSML/tree/main/Basics%20Statistics%20ML%2C%20DL/Day%207

Day 38

Correlation, Covariance, and Simple Linear Regression

Link: https://github.com/augustine-aj/75-Days-Challenge---DSML/tree/main/Basics%20Statistics%20ML%2C%20DL/Day%208

Day 39

Multiple Linear Regression and Logistic Regression

Link: https://github.com/augustine-aj/75-Days-Challenge---DSML/tree/main/Basics%20Statistics%20ML%2C%20DL/Day%209

Day 40

ANOVA and Resampling Techniques

Link: https://github.com/augustine-aj/75-Days-Challenge---DSML/tree/main/Basics%20Statistics%20ML%2C%20DL/Day%2010

Day 41

Introduction to Machine Learning and Data Preprocessing

Link:https://github.com/augustine-aj/75-Days-Challenge---DSML/tree/main/Machine%20Learning/Day%201

Day 42

Exploratory Data Analysis (EDA) Overview

Link:https://github.com/augustine-aj/75-Days-Challenge---DSML/tree/main/Machine%20Learning/Day%202

Day 43

Supervised Learning - Linear Regression Basics

Link:https://github.com/augustine-aj/75-Days-Challenge---DSML/tree/main/Machine%20Learning/Day%203

Day 44

Decision Trees: Explanation

Link:https://github.com/augustine-aj/75-Days-Challenge---DSML/tree/main/Machine%20Learning/Day%204

Day 45

Supervised Learning - Model Evaluation

Link: https://github.com/augustine-aj/75-Days-Challenge---DSML/tree/main/Machine%20Learning/Day%205

Day 46

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

Day 47

Unsupervised Learning - Clustering Basics

Link: https://github.com/augustine-aj/75-Days-Challenge---DSML/tree/main/Machine%20Learning/Day%207

Day 48

Feature Engineering and Feature Selection

Link:https://github.com/augustine-aj/75-Days-Challenge---DSML/tree/main/Machine%20Learning/Day%208

Day 49

Advanced Clustering Techniques

Link:https://github.com/augustine-aj/75-Days-Challenge---DSML/tree/main/Machine%20Learning/Day%209

Day 50

Introduction to Logistic Regression

Link:https://github.com/augustine-aj/75-Days-Challenge---DSML/tree/main/Machine%20Learning/Day%2010

Day 51

Hyperparameter Tuning

Link:https://github.com/augustine-aj/75-Days-Challenge---DSML/tree/main/Machine%20Learning/Day%2011

Day 52

Cross-Validation Techniques

Link:https://github.com/augustine-aj/75-Days-Challenge---DSML/tree/main/Machine%20Learning/Day%2012

Day 53

Customer Churn Prediction Model

Link: https://github.com/augustine-aj/75-Days-Challenge---DSML/tree/main/Machine%20Learning/Day%2013

Day 54

Model Deployment Basics

Link:https://github.com/augustine-aj/75-Days-Challenge---DSML/tree/main/Machine%20Learning/Day%2014

Day 55

Advanced Model Optimization and Insights Presentation

Link:https://github.com/augustine-aj/75-Days-Challenge---DSML/tree/main/Machine%20Learning/Day%2015

Day 56

Introduction to Deep Learning

Link:https://github.com/augustine-aj/75-Days-Challenge---DSML/tree/main/Deep%20Learning/Day%201

Day 57

TensorFlow and Keras Basics

Link: https://github.com/augustine-aj/75-Days-Challenge---DSML/tree/main/Deep%20Learning/Day%202

Day 58

Convolutional Neural Networks (CNN) Fundamentals

Link: https://github.com/augustine-aj/75-Days-Challenge---DSML/tree/main/Deep%20Learning/Day%203

Day 59

Building my first CNN

Link:https://github.com/augustine-aj/75-Days-Challenge---DSML/tree/main/Deep%20Learning/Day%204

Day 60

Model Evaluation and Debugging in Deep Learning

Link:https://github.com/augustine-aj/75-Days-Challenge---DSML/tree/main/Deep%20Learning/Day%205

Day 61

Data Augmentation Techniques

Link:https://github.com/augustine-aj/75-Days-Challenge---DSML/tree/main/Deep%20Learning/Day%206

Day 62

CNN Regularization

Link:https://github.com/augustine-aj/75-Days-Challenge---DSML/tree/main/Deep%20Learning/Day%207

Day 63

Transfer Learning Basics

Link:https://github.com/augustine-aj/75-Days-Challenge---DSML/tree/main/Deep%20Learning/Day%208

Day 64

Implement Transfer Learning with VGG16

Link: https://github.com/augustine-aj/75-Days-Challenge---DSML/tree/main/Deep%20Learning/Day%209

Day 65

Implement Transfer Learning with VGG16

Link:https://github.com/augustine-aj/75-Days-Challenge---DSML/tree/main/Deep%20Learning/Day%2010

Day 66

Hyperparameter Tuning in Deep Learning

Link:https://github.com/augustine-aj/75-Days-Challenge---DSML/tree/main/Deep%20Learning/Day%2011

Day 67

Visualizing CNN Predictions

Link:https://github.com/augustine-aj/75-Days-Challenge---DSML/tree/main/Deep%20Learning/Day%2012

Day 68

Model Deployment Preparation

Link: https://github.com/augustine-aj/75-Days-Challenge---DSML/tree/main/Deep%20Learning/Day%2013

Day 69

Transfer Learning on a Different Dataset

Link: https://github.com/augustine-aj/75-Days-Challenge---DSML/tree/main/Deep%20Learning/Day%2014

Day 70

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

Day 71

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

Day 72

Model Refinement

Link: https://github.com/augustine-aj/75-Days-Challenge---DSML/tree/main/Deep%20Learning/Day%2017

Day 73

Evaluate and Test

LinK: https://github.com/augustine-aj/75-Days-Challenge---DSML/tree/main/Deep%20Learning/Day%2018

Day 74

Insights and Documentation

Link: https://github.com/augustine-aj/75-Days-Challenge---DSML/tree/main/Deep%20Learning/Day%2019

Day 75

Deploy the model using Flask/Streamlit

Link: https://github.com/augustine-aj/75-Days-Challenge---DSML/tree/main/Deep%20Learning/Day%2020

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published