Complete Data Science & AI Bangla Tutorial | Python, Machine Learning, Deep Learning & Artificial Intelligence | Bangladesh
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1 modules • 118 lessons • 41.5 hours of video
Complete Data Science & AI Bangla Tutorial | Python, Machine Learning, Deep Learning & Artificial Intelligence | Bangladesh
118 lessons
• 28.5 hours
Complete Data Science & AI Bangla Tutorial | Python, Machine Learning, Deep Learning & Artificial Intelligence | Bangladesh
118 lessons
• 28.5 hours
- Data Science Bangla Tutorial: Learn Python, Data Science & Artificial Intelligence | @aiquest 01:01
- AI & Data Career Roadmap 2026 | From Analyst to MLOps/Agentic AI Engineer 17:49
- Stop Searching! ALL Machine Learning Topics in ONE Video (Complete Guide) 32:58
- What is Data Science? Data Science Vs. Analytics Vs. ArtificiaI Intelligence Vs. Machine Learning 06:39
- What is Machine Learning? Artificial Intelligence Vs. Machine Learning (Explained) 08:16
- Types of Machine Learning Models | Discriminative Vs. Generative Model in AI 12:21
- Main Steps to Build an ML/AI Application from Starting to Deployment @aiquest 12:12
- Best 4 Code Editor/IDE for Data Science & Machine Learning: A Comprehensive Bangla Tutorial @aiquest 09:58
- Pandas for Machine Learning | Python Pandas DataFrame Bangla Tutorial | Pandas Course | @rashakil 36:52
- Pandas Profiling | Exploratory Data Analysis | Data Science | EDA | Bangla 05:59
- Pandas for Data Science & AI | Importing Google Sheets using Python Pandas | @aiquest, @rashakil 10:35
- Types of Variables in Data Science | Statistics for Machine Learning | Bangla 05:26
- Regression Analysis in Statistics: Simple Linear Regression in Data Science & Machine Learning 11:58
- Scikit-Learn Library for Supervised Learning | Machine Learning Bangla Tutorial for Begineers 08:37
- Implementing Linear Regression with Python | Machine Learning Bangla Tutorials (Bangla) 16:40
- Loss & Cost Functions in Linear Regression | Machine Learning Bangla Tutorials 10:18
- Coefficient of Determination (R-Squared) | Linear Regression in Machine Learning (Bangla) 04:16
- Salary Prediction using Linear Regression | Machine Learning Bangla Tutorials 03:11
- Best 55 Public CSV Datasets for Data Science, Data Analytics & Machine Learning | ML Bangla Tutorial 04:22
- Machine Learning Tutorial Bangla | Python - Linear Regression with Multiple Variables | Data Science 18:44
- Overfitting and Underfitting Concepts in Machine Learning 08:49
- Scikit-Learn Library for Model Selection | Machine Learning Bangla Tutorial for Begineers 04:14
- Data Splitting | Train-Test Split for Evaluating Machine Learning Algorithms (Bangla) 08:33
- Pearson Correlation Coefficient | Correlation Interpretation in Data Science 06:47
- Linear Regression Vs. Polynomial Regression | What, When, Where? 09:51
- Regression Analysis: Polynomial Regression Explained 15:14
- Feature Engineering: Feature Transformation in Machine Learning 06:56
- Feature Engineering: Encoding & Decoding in Machine Learning 07:11
- Scikit-Learn Library for Data Preprocessing | Machine Learning Bangla Tutorial for Begineers 05:22
- Feature Engineering: Label Encoder in Machine Learning | Encoding & Decoding (Bangla) 14:06
- Feature Engineering: One-Hot Encoding in Machine Learning (Bangla) 10:52
- Feature Engineering: Binary Encoder Explained in Machine Learning (Bangla) 05:51
- Feature Engineering: Ordinal Encoder Explained in Machine Learning (Bangla) 07:12
- Normalization Concept in Statistics | Data Scaling | Feature Transformation in Machine Learning 09:26
- Standardization in Statistics | Standard Scaler in Machine Learning | Z-Score Transformation 13:23
- Differences: Fit, Transform, Fit_Transform in Machine Learning (Bangla) 08:26
- What is Data Leakage in Machine Learning? 06:43
- Machine Learning Project | Profit Prediction using Multiple Linear Regression (Bengali) 26:10
- Gradient Descent: Linear Regression with Gradient Descent in Machine Learning | Linear Regression 54:21
- Decision Tree: A Complete Guide for Machine Learning | Decision Tree with Python | Bangla 16:22
- Classification: Decision Tree Construction in Machine Learning | Decision Tree Classifier 21:49
- Confusion Matrix in Machine Learning (Bangla) | Evaluate Classification Models 11:18
- Confusion Matrix with Python (Bangla) | Machine Learning 07:54
- What is Cross Validation | K-Fold & Stratified K-Fold Cross Validation | Stats & Machine Learning 12:52
- XGBoost: Implementing K-Fold Cross Validation with Python & XGBoost Classifier 10:12
- Machine Learning Tutorial (Bangla) | Logistic Regression Classification Explained with Example 14:50
- Machine Learning Tutorial (Bangla) | Logistic Regression in Machine Learning (Part-2) 13:18
- Machine Learning Tutorial (Bengali) | Customer Churn Prediction Using Python Machine Learning 23:58
- Machine Learning Tutorial (Bangla) | SVM in Machine Learning | Support Vector Machine in ML 15:48
- Ensemble Learning in Machine Learning: A Gentle Introduction to Ensemble Learning Algorithms 11:39
- Random Forest: A Complete Guide for Machine Learning | Random Forest Explained | Bangla 05:21
- Random Forest with Python | Implementing Random Forest for Classification | Bangla 04:46
- Machine Learning Tutorial | Save ML Model | Pickle vs Joblib | Data Science Tutorial | Python for DS 23:41
- Grid Search vs Random Search: Hyperparameter Optimization/Tuning 49:58
- Norms in Machine Learning | Norms Vs. Distance Metrics | Manhattan Distance | Euclidean Distance 11:59
- Machine Learning Tutorial (Bangla) - KNN | K-Nearest Neighbors Algorithm in ML | KNN Explained 17:05
- K-Nearest Neighbors Algorithm (KNN) | KNN Regression Python | Data Science Course for Beginners 18:48
- Machine Learning Tutorial (Bangla) | K-Nearest Neighbors (K-NN) Explained using Python Sklearn 10:19
- Machine Learning Tutorial (Bangla) | What is CountVectorizer in Python & How CountVectorizer Work 10:45
- Machine Learning Tutorial (Bengali) | TF-IDF Vectorizer | Feature Extraction Techniques | NLP 14:57
- Machine Learning Bangla | Naive Bayes Classifier in Machine Learning | Naïve Bayes in ML Bengali 23:38
- Naive Bayes Algorithm with Python | Machine Learning | Bangla 08:16
- Python Libraries for Natural Language Processing | NLTK, TextBlob, Gensim, Hugging Face(Transformer) 06:12
- @aiquest NLP Project: Spam eMail Detection with Naive Bayes Classifiers (Bengali) 17:47
- Data Science & Machine Learning Project | NLP - Fake News Classification using Machine Learning ✅ 40:22
- Data Science & Machine Learning Project | Breast Cancer Prediction using PyCaret ✅ 51:56
- Scikit-Learn Library for Unsupervised Learning | Machine Learning Bangla Tutorial for Begineers 06:04
- Cluster Analysis (Bangla) | KMeans Cluster in Machine Learning | Unsupervised Learning, Data Science 02:14:35
- How PCA Works? Feature Selection vs Dimensionality Reduction | Principal Component Analysis | Bangla 22:32
- Dynamic Time Warping | DTW Algorithom | Machine Learning For Time Series 12:18
- 01. How to Complete Deep Learning & AI Course? | Guidelines | Bangla 04:05
- Roadmap: Complete Deep Learning & Generative AI (Bangla Tutorial) 18:41
- 02. Artificial Neuron in Neural Network | 90 Days of Deep Learning | AI Bangla Tutorial @aiquest 08:16
- 03. Neural Network Explained | Deep Learning (Bangla) | 90 Days of Deep Learning 11:02
- 04. Importance of Activation Functions in Deep Learning (Bangla) | 90 Days of Deep Learning 06:08
- 05. Activation Functions in Neural Networks (Part-02) | Deep Learning | Artificial Intelligence 19:25
- 06. Activation Functions with Python (Part-03) | 90 Days of Deep Learning | Artificial Intelligence 11:46
- 07. What are the Steps Per Epoch? Batch Size | Neural Network in Deep Learning (Bangla) 11:13
- 08. The Math Behind an Artificial Neuron | Forward Propagation | Neural Networks (Bangla) 07:33
- 09. Single Neuron Implement with Python | 90 Days of Deep Learning (Bangla) 09:58
- 10. Learn Calculus for Deep Learning (Bangla) | 60 Days of Deep Learning | Partial Derivative 20:16
- 11. Backpropagation using Chain Rule (Bangla) | 90 Days of Deep Learning | @aiquest 23:47
- 12. Practice: Backpropagation in Neural Network (Bangla) | 90 Days of Deep Learning 11:57
- 13. Norms in Deep Learning/ML (Bangla) | Distance Metrics | Euclidean Distance | Manhattan Distance 10:56
- 14. Convex and Non-Convex Cost Functions in Machine Learning (Bangla) | 90 Days of Deep Learning 15:09
- 15. Gradient Descent Optimizer in Deep Learning/ML (Bangla) | 90 Days of Deep Learning 13:18
- 16. Different Variants of Gradient Descent | Bangla | Deep Learning & AI @aiquest 11:52
- 17. Gradient Descent with Momentum (Bangla) | 90 Days of Deep Learning | Neural Network 06:21
- 18. Gradient Descent With Nesterov Accelerated Gradient (NAG) | Nesterov Momentum | Bangla Tutorial 06:12
- 19. Adaptive Gradient Algorithm (Adagrad) | 90 Days of Deep Learning | Bangla Tutorials 08:37
- 20. Understanding RMSprop Optimizer (Bangla) | Adaptive Optimization in Neural Networks 05:25
- 21. Understanding AdaDelta Optimizer (Bangla) | 90 Days of Deep Learning | Neural Network 07:45
- 22. Understanding Adam & NAdam Optimizer (Bangla) | 90 Days of Deep Learning 08:42
- 23. Understanding AMSGrad Optimizer (Bangla) | 90 Days of Deep Learning | Neural Network 05:28
- 24. Vanishing Gradient Problem in Deep Neural Networks | 90 Days of Deep Learning (Bangla) 09:59
- 25. Exploding Gradient Problem in Deep Neural Networks | 90 Days of Deep Learning | Bangla Tutorial 09:48
- 26. Three Powerful Ways to Build Neural Networks with TensorFlow & Keras | 90 Days of Deep Learning 05:55
- 27. Keras: The High-level API for TensorFlow | 90 Days of Deep Learning & AI | Bangla 18:50
- 28. Customer Churn Prediction using Neural Network & TensorFlow | 90 Days of Deep Learning | Bangla 18:53
- 29. Intro to Computer Vision in Deep Learning | Images | Frame Rates | Pixel Value @aiquest 15:19
- 30. Convolutional Neural Networks (CNN) | Computer Vision | CNN Bangla Tutorial | Deep Learning 16:32
- 31. Convolution Operation | ReLU | Convolutional Neural Network (CNN) | Kernel Operation | Maths 18:53
- 32. Pooling Layer | Flatten Layer & Dense Layer | Convolutional Neural Network (CNN) | Bangla Course 12:55
- 33. Convolutional Neural Networks | Calculating Parameters & Dimensions in CNNs | Deep Learning 16:19
- 34. Convolutional Neural Networks (CNN) in Python | Complete Deep Learning Course | Bangla Tutorial 20:50
- Computer Vision | Transfer Learning | Vision Transformer(ViT) vs. CNNs 13:22
- RNN: All you need to know about Recurrent Neural Network | Bangla Tutorial @aiquest 12:31
- RNN: How Recurrent Neural Network Architecture Work: One-to-One/Many, Many-to-One/Many | Full Bangla 05:08
- RNN: Main Components of Recurrent Neural Networks (RNNs) | Bangla Tutorial 06:02
- RNN: Main Steps to Train a Recurrent Neural Network (RNN) | Bangla Tutorial 06:00
- RNN: Detailed Steps to Unfold a Recurrent Neural Network (RNNs) | Bangla Tutorial 13:06
- RNN: Calculating Loss & Backpropagation Through Time in Recurrent Neural Networks (RNNs) | Bangla 16:44
- Backpropagation Through Time (BPTT) in RNN | Chain Rule | 90 Days of Deep Learning | Bangla Tutorial 18:09
- RNN: Let’s Understand the Problems with Recurrent Neural Networks | Bangla Tutorial 06:21
- LSTM: Long Short-Term Memory (LSTM) Explained | Bangla Tutorial | @rashakil 16:53
- LSTM: Long Short-Term Memory (LSTM) with Python | Bangla Tutorial 08:52
- GRU: Understanding Gated Recurrent Unit (GRU) in Deep Learning | Bangla Tutorial 14:36
- Transformer Architecture | Attention Is All You Need | Bangla 32:25
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