Published 5/2024
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.19 GB | Duration: 1h 47m
“Master Python: Unleashing the Power of Data Science and Machine Learning” with sample Project
What you’ll learn
Advanced of Python
Coding with Python Language
Problem Statement in Python
Syntax of Python Programming Language
Python for Developer
Requirements
No Previous Requirements
Learn from Basic to Advance
Description
Embark on a transformative journey into the heart of Artificial Intelligence and Machine Learning with our comprehensive Python course. Designed for beginners and seasoned programmers alike, this course serves as your gateway to mastering Python’s capabilities in the realm of AI and ML.Through a carefully crafted curriculum, you’ll first establish a solid foundation in Python programming, mastering its syntax, data structures, and control flow. With this groundwork in place, you’ll then delve deep into the specialized techniques and libraries that empower Python as the language of choice for AI and ML development.From data manipulation and preprocessing to model building and evaluation, each module of the course is crafted to provide hands-on experience and real-world applications. Dive into the world of neural networks, explore the intricacies of deep learning, and harness the power of machine learning algorithms to solve complex problems.Guided by expert instructors and supported by a vibrant learning community, you’ll not only gain practical skills but also develop the confidence to tackle AI and ML challenges head-on. Whether you’re aspiring to launch a career in data science or seeking to enhance your existing skill set, this course equips you with the tools and knowledge needed to thrive in the ever-evolving landscape of AI and ML.Python for Problem Solving1
Overview
Section 1: Introduction in Hindi
Lecture 1 Introduction
Lecture 2 Datatypes in Python
Lecture 3 Conditional Statement in Python
Lecture 4 Loop Statement in Python
Lecture 5 Operator in Python
Section 2: Introduction in English
Lecture 6 Datatypes
Lecture 7 Operators
Lecture 8 Conditional & Loop Statement
Section 3: Problem Solving with Python : Basic
Lecture 9 Reverse Number
Lecture 10 Decimal to Binary
Lecture 11 Prime Number
Lecture 12 Even Odd Number
Lecture 13 Fibonacci Series
Lecture 14 Arithmetic Progression
Lecture 15 Linear Search
Section 4: Problem Solving with Python : Intermediate
Lecture 16 Bubble Sort
Lecture 17 Merge
Lecture 18 Union
Lecture 19 Mid of Array
Lecture 20 Missing Number
Lecture 21 Duplicate in Array
Lecture 22 Rotate Array
Section 5: Data Science & Machine Learning
Lecture 23 Reference Book
Section 6: Natural Language Processing
Lecture 24 Reference Book
Beginner Python for Problem solving,Advance Python Programming
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