Python for Data Science & ML (Crash Course)
Lecture 1: Installing Python and IDEs (PyCharm, VSCode, Jupyter) . .[FREE CLASS]. .
Python for Data Science & ML (Crash Course)
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DEMO CLASS: [ক্লিক করে দেখে নিন কোর্সের ডেমো ক্লাসগুলো]
Demo Class 1: Build a Simple Calculator Using Python Function
Video - 7:29 mins
Demo Class 2: How to Define Views in Django
Video - 3:10 mins
Demo Class 3: Dataset Visualization and Plotting Graphs
Video - 5:48 mins
Module 1: Introduction to Python (Beginner Friendly)
Lecture 1: Installing Python and IDEs (PyCharm, VSCode, Jupyter) . .[FREE CLASS]. .
Video - 3:06 mins
Lecture 2: Variables and Data Types . .[FREE CLASS]. .
Video - 9:37 mins
Lecture 3: Typecasting and Conversion
Video - 6:45 mins
Lecture 4: Conditional Statements: if, elif, else
Video - 8:22 mins
Lecture 5: Loops: for and while
Video - 5:35 mins
Lecture 6: Functions & Reusability
Video - 6:01 mins
Lecture 7: Data Structures
Video - 7:34 mins
Python Cheat Sheet
Reading
Project: Build a Number Guessing Game
Video - 4:04 mins
Project: Build a Simple Calculator Using Python Function
Video - 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 - 18:12 mins
Lecture 2: String Operations and Formatting . .[FREE CLASS]. .
Video - 8:49 mins
Lecture 3: Functions (parameters, return, scope)
Video - 17:25 mins
Lecture 4: Recursion Basics
Video - 3:21 mins
Lecture 5: Lambda Functions & map(), filter(), reduce()
Video - 8:03 mins
Lecture 6: Error Handling (try, except, finally)
Video - 7:31 mins
Lecture 7: File I/O: Reading & Writing Files (Part 1)
Video - 8:14 mins
Lecture 8: File I/O: Reading & Writing Files (Part 2)
Video - 2:57 mins
Lecture 9: File I/O: Reading & Writing Files (Part 3)
Video - 4:07 mins
Module 3: Data Structures & Algorithms in Python
Lecture 1: Stack . .[FREE CLASS]. .
Video - 11:21 mins
Lecture 2: Queues (Part 1)
Video - 8:13 mins
Lecture 3: Queue (Part 2)
Video - 3:04 mins
Lecture 4: Linked List (Part 1)
Video - 5:45 mins
Lecture 5: Linked list (Part 2)
Video - 5:33 mins
Lecture 6: Binary tree (Part 1)
Video - 2:36 mins
Lecture 7: Binary tree (Part 2)
Video - 10:28 mins
Lecture 8: Trees
Video - 15:19 mins
Lecture 9: Hash Maps (Dictionaries)
Video - 5:57 mins
Lecture 10: Searching Algo
Video - 12:52 mins
Lecture 11: Bubble Sort
Video - 5:13 mins
Lecture 12: Merge Sort (Part 1)
Video - 3:08 mins
Lecture 13: Merge Sort (Part 2)
Video - 10:35 mins
Lecture 14: Quick Sort
Video - 7:19 mins
Lecture 15: Selection Sort
Video - 5:03 mins
Module 4: Advanced Python Concepts and File Handling
Lecture 1: Type Hinting
Video - 17:29 mins
Lecture 2: Aggregation and Composition (Part 1)
Video - 7:38 mins
Lecture 3: Aggregation and Composition (Part 2)
Video - 14:43 mins
Lecture 4: Magic Methods
Video - 9:47 mins
Lecture 5: Decorator (Part 1)
Video - 7:26 mins
Lecture 6: Decorator (Part 2)
Video - 8:09 mins
Lecture 7: Generator
Video - 12:31 mins
Lecture 8: Working with csv file
Video - 10:08 mins
Lecture 9: Working with json file (Part 1)
Video - 6:11 mins
Lecture 10: Working with json file (Part 2)
Video - 3:30 mins
Module 5: Project- Build A Library Management System
Build A Library Management System (Part 1)
Video - 15:58 mins
Build A Library Management System (Part 2)
Video - 19:31 mins
Module 6: Machine Learning & Data Science
Lecture 1: Introduction to Machine Learning
Video - 5:02 mins
Lecture 2: Types of Machine Learning
Video - 12:41 mins
Lecture 3: Machine Learning Pipeline
Video - 9:22 mins
Lecture 4: Environment Setup
Video - 3:29 mins
Lecture 5: Downloading Dataset
Video - 5:46 mins
Lecture 6: Import Dataset and Visualize
Video - 7:37 mins
Lecture 7: Dataset Visualization and Plotting Graphs
Video - 5:48 mins
Lecture 8: Introduction to Data Science
Video - 4:53 mins
Lecture 9: Introduction to Pandas Dataframes and Series
Video - 14:06 mins
Lecture 10: Import & Export Data
Video - 7:00 mins
Lecture 11: Data Exploration Functions
Video - 7:32 mins
Lecture 12: Statistical Functions & Plotting
Video - 12:03 mins
Lecture 13: Accessing Individual Data
Video - 13:19 mins
Lecture 14: Data Manipulation
Video - 20:20 mins
Lecture 15: Cleaning Data
Video - 9:12 mins
Module 7: Project – Build A Movie Recommendation System
Lecture 1: Real World Project
Video - 4:36 mins
Lecture 2: Importing Dataset
Video - 5:40 mins
Lecture 3: Preprosessing Data
Video - 6:38 mins
Lecture 4: Model Creation and Training
Video - 5:38 mins
Lecture 5: Prediction
Video - 4:37 mins
Lecture 6: Splitting the Dataset
Video - 7:25 mins
Lecture 7: Calculating Accuracy Score
Video - 6:14 mins
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