Data Science with AI Live Bootcamp
Lesson 3: Descriptive Statistics – Part 1
Data Science with AI Live Bootcamp
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Module 1: Descriptive Statistics and Probability
Lesson 1: Fundamentals of Statistics Part 1 – Linear Algebra – recorded
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Lesson 2: Fundamentals of Statistics Part 2 – recorded
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Lesson 3: Descriptive Statistics – Part 1
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Lesson 4: Descriptive Statistics – Part 2
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Lesson 5: স্যাম্পলিং মেথড – recorded
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Lesson 6: Fundamentals of Probability – recorded
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Lesson 7: Probability Distribution and Central Limit Theorem
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Module 2: Python Fundamentals for Data Science
Lesson 1: Python Basics – recorded
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Lesson 2: NumPy দিয়ে ডেটা সাজানো – recorded
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Lesson 3: Data Management with Pandas – Part 1
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Lesson 4: Data Management with Pandas – Part 2 – recorded
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Lesson 5: Data Visualization with Matplotlib – recorded
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Module 3: EDA and regression Analysis
Lesson 1: Exploratory Data Analysis – Part 1
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Lesson 2: Exploratory Data Analysis – Part 2
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Lesson 3: Regression Analysis – Part 1
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Lesson 4: Regression Analysis – Part 2
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Lesson 5: Modules Summary and AI Tools
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Module 4: Advanced Statistics
Lesson 1: Fundamental of Inferential Statistics – recorded
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Lesson 2: Statistical Inference – Part 1 – recorded
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Lesson 3: Statistical Inference – Part 2
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Lesson 4: Hypothesis Testing – Part 1
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Lesson 5: Hypothesis Testing – Part 2
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Lesson 6: Multivariate Analysis
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Module 5: Welcome to R Language
Lesson 1: Fundamentals of R Language
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Lesson 2: Data Structure in R
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Lesson 3: Data Analysis and visualization with R
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Lesson 4: Regression Analysis with R
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Module 6: Welcome to Machine Learning
Lesson 1: Fundamentals of Machine Learning – recorded
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Lesson 2: পাইথন এবং প্রয়োজনীয় লাইব্রেরি পরিচিতি – recorded
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Lesson 3: ডেটা প্রি-প্রসেসিং কৌশল
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Lesson 4: ফিচার ইঞ্জিনিয়ারিং এবং মিসিং ডেটা হ্যান্ডলিং
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Lesson 5: পারফরম্যান্স মেট্রিক্স ও মডেল ইভালুয়েশন
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Module 7: Advanced Machine Learning
Class 1: Advanced Regression Models
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Class 2: Classification Models: K-Nearest Neighbors and Decision Trees
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Class 3: Clustering Models
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Class 4: Ensemble Methods and Model Evaluation
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Module 8: Welcome to Deep Learning
Class 1: Introduction to Neural Network Model
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Class 2: Convolutional Neural Network (CNN) - কম্পিউটার ভিশন
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Class 3: রিকারেন্ট নিউরাল নেটওয়ার্ক (RNN) - সিকুয়েন্স মডেলিং
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Class 4: ক্যাপস্টোন প্রজেক্ট - সম্পূর্ণ ML/DL সমাধান
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Module 9: Bonus Module – Intro to Artificial Intelligence
5 hours of full lecture videos
Class 1: Large Language Model - LLM মডেল - Part 1
Video - 1:08:57 mins
Class 2: Large Language Model - Part 2 কাস্টম মডেল তৈরি
Video - 41:46 mins
Class 3: Retrieval-Augmented Generation (RAG) এবং ভেক্টর ডেটাবেস – Part 1
Video - 1:02:00 mins
Class 4: RAG ভিত্তিক চ্যাটবট ডেভেলপমেন্ট (পার্ট ২)
Video - 1:05:24 mins
Class 5: ক্যারিয়ার রোডম্যাপ ও পোর্টফোলিও তৈরি
Video - 59:21 mins
Module 10 – Python Quizzes
Python Quiz 01
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Python Quiz 01
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Python Quiz 01
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Python Quiz 02
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Python Quiz 02
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Python Quiz 02
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Python Quiz 03
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Python Quiz 03
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Python Quiz 03
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Python Quiz 04
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Python Quiz 04
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Python Quiz 04
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আমরা যা শিখব:
Measures of Central Tendency, mean, median, mode
Measures of Dispersion, variance, standard deviation
উদ্দেশ্য:
ডেটার শেইপ, সাইজ, ডেটার বিহেভিওর, মুভমেন্ট ও ক্যারেক্টারিস্টিক্স জানবো