Python for Data Science & ML (Crash Course)
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DEMO CLASS: [ক্লিক করে দেখে নিন কোর্সের ডেমো ক্লাসগুলো]
Module 1: Introduction to Python (Beginner Friendly)
Lecture 1: Installing Python and IDEs (PyCharm, VSCode, Jupyter) . .[FREE CLASS]. .
Video - 00:3:06 mins
Lecture 2: Variables and Data Types . .[FREE CLASS]. .
Video - 00:9:36 mins
Lecture 3: Typecasting and Conversion
Video - 00:6:45 mins
Lecture 4: Conditional Statements: if, elif, else
Video - 00:8:22 mins
Lecture 5: Loops: for and while
Video - 00:5:35 mins
Lecture 6: Functions & Reusability
Video - 00:6:02 mins
Lecture 7: Data Structures
Video - 00:7:33 mins
Python Cheat Sheet
Reading
Project: Build a Number Guessing Game
Video - 00:4:04 mins
Project: Build a Simple Calculator Using Python Function
Video - 00:7:29 mins
Support: Join the WhatsApp group to get any help from instructor
Reading
Module 2: Core Python Concepts
Lecture 1: Lists, Tuples, Sets, Dictionaries (with use-cases), List Comprehensions . .[FREE CLASS]. .
Video - 00:18:12 mins
Lecture 2: String Operations and Formatting . .[FREE CLASS]. .
Video - 00:8:49 mins
Lecture 3: Functions (parameters, return, scope)
Video - 00:17:24 mins
Lecture 4: Recursion Basics
Video - 00:3:21 mins
Lecture 5: Lambda Functions & map(), filter(), reduce()
Video - 00:8:02 mins
Lecture 6: Error Handling (try, except, finally)
Video - 00:7:31 mins
Lecture 7: File I/O: Reading & Writing Files (Part 1)
Video - 00:8:14 mins
Lecture 8: File I/O: Reading & Writing Files (Part 2)
Video - 00:2:57 mins
Lecture 9: File I/O: Reading & Writing Files (Part 3)
Video - 00:4:07 mins
Module 3: Data Structures & Algorithms in Python
Lecture 1: Stack . .[FREE CLASS]. .
Video - 00:11:21 mins
Lecture 2: Queues (Part 1)
Video - 00:8:13 mins
Lecture 3: Queue (Part 2)
Video - 00:3:04 mins
Lecture 4: Linked List (Part 1)
Video - 00:5:45 mins
Lecture 5: Linked list (Part 2)
Video - 00:5:33 mins
Lecture 6: Binary tree (Part 1)
Video - 00:2:36 mins
Lecture 7: Binary tree (Part 2)
Video - 00:10:28 mins
Lecture 8: Trees
Video - 00:15:19 mins
Lecture 9: Hash Maps (Dictionaries)
Video - 00:5:57 mins
Lecture 10: Searching Algo
Video - 00:12:52 mins
Lecture 11: Bubble Sort
Video - 00:5:13 mins
Lecture 12: Merge Sort (Part 1)
Video - 00:3:08 mins
Lecture 13: Merge Sort (Part 2)
Video - 00:10:35 mins
Lecture 14: Quick Sort
Video - 00:7:19 mins
Lecture 15: Selection Sort
Video - 00:5:03 mins
Module 4: Advanced Python Concepts and File Handling
Lecture 1: Type Hinting
Video - 00:17:29 mins
Lecture 2: Aggregation and Composition (Part 1)
Video - 00:7:38 mins
Lecture 3: Aggregation and Composition (Part 2)
Video - 00:14:43 mins
Lecture 4: Magic Methods
Video - 00:9:47 mins
Lecture 5: Decorator (Part 1)
Video - 00:7:26 mins
Lecture 6: Decorator (Part 2)
Video - 00:8:09 mins
Lecture 7: Generator
Video - 00:12:31 mins
Lecture 8: Working with csv file
Video - 00:10:08 mins
Lecture 9: Working with json file (Part 1)
Video - 00:6:11 mins
Lecture 10: Working with json file (Part 2)
Video - 00:3:30 mins
Module 5: Project- Build A Library Management System
Module 6: Machine Learning & Data Science
Lecture 1: Introduction to Machine Learning
Video - 00:5:02 mins
Lecture 2: Types of Machine Learning
Video - 00:12:41 mins
Lecture 3: Machine Learning Pipeline
Video - 00:9:22 mins
Lecture 4: Environment Setup
Video - 00:3:29 mins
Lecture 5: Downloading Dataset
Video - 00:5:46 mins
Lecture 6: Import Dataset and Visualize
Video - 00:7:37 mins
Lecture 7: Dataset Visualization and Plotting Graphs
Video - 00:5:48 mins
Lecture 8: Introduction to Data Science
Video - 00:4:53 mins
Lecture 9: Introduction to Pandas Dataframes and Series
Video - 00:14:06 mins
Lecture 10: Import & Export Data
Video - 00:7:00 mins
Lecture 11: Data Exploration Functions
Video - 00:7:32 mins
Lecture 12: Statistical Functions & Plotting
Video - 00:12:03 mins
Lecture 13: Accessing Individual Data
Video - 00:13:19 mins
Lecture 14: Data Manipulation
Video - 00:20:20 mins
Lecture 15: Cleaning Data
Video - 00:9:12 mins
Module 7: Project – Build A Movie Recommendation System
Lecture 1: Real World Project
Video - 00:4:36 mins
Lecture 2: Importing Dataset
Video - 00:5:40 mins
Lecture 3: Preprosessing Data
Video - 00:6:38 mins
Lecture 4: Model Creation and Training
Video - 00:5:38 mins
Lecture 5: Prediction
Video - 00:4:37 mins
Lecture 6: Splitting the Dataset
Video - 00:7:25 mins
Lecture 7: Calculating Accuracy Score
Video - 00:6:14 mins