170 dersten 150. ders
27. Keras: The High-level API for TensorFlow | 90 Days of Deep Learning & AI | Bangla
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- 3A-Z Roadmap To Learn Python [[ শূন্য থেকে পাইথন এক্সপার্ট ]]
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- 38Day-29🐍 60 Days of Python | Function in Python (Bangla) | Python Bangla Tutorials for Begineers
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- 40Day-30.2🐍 60 Days of Python | More About Return in Python (Part-02)
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- 57What is Machine Learning? Artificial Intelligence Vs. Machine Learning (Explained)
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- 61Pandas for Machine Learning | Python Pandas DataFrame Bangla Tutorial | Pandas Course | @rashakil
- 62Pandas Profiling | Exploratory Data Analysis | Data Science | EDA | Bangla
- 63Pandas for Data Science & AI | Importing Google Sheets using Python Pandas | @aiquest, @rashakil
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- 65Regression Analysis in Statistics: Simple Linear Regression in Data Science & Machine Learning
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- 72Machine Learning Tutorial Bangla | Python - Linear Regression with Multiple Variables | Data Science
- 73Overfitting and Underfitting Concepts in Machine Learning
- 74Scikit-Learn Library for Model Selection | Machine Learning Bangla Tutorial for Begineers
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- 76Pearson Correlation Coefficient | Correlation Interpretation in Data Science
- 77Linear Regression Vs. Polynomial Regression | What, When, Where?
- 78Regression Analysis: Polynomial Regression Explained
- 79Feature Engineering: Feature Transformation in Machine Learning
- 80Feature Engineering: Encoding & Decoding in Machine Learning
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- 83Feature Engineering: One-Hot Encoding in Machine Learning (Bangla)
- 84Feature Engineering: Binary Encoder Explained in Machine Learning (Bangla)
- 85Feature Engineering: Ordinal Encoder Explained in Machine Learning (Bangla)
- 86Normalization Concept in Statistics | Data Scaling | Feature Transformation in Machine Learning
- 87Standardization in Statistics | Standard Scaler in Machine Learning | Z-Score Transformation
- 88Differences: Fit, Transform, Fit_Transform in Machine Learning (Bangla)
- 89What is Data Leakage in Machine Learning?
- 90Machine Learning Project | Profit Prediction using Multiple Linear Regression (Bengali)
- 91Gradient Descent: Linear Regression with Gradient Descent in Machine Learning | Linear Regression
- 92Decision Tree: A Complete Guide for Machine Learning | Decision Tree with Python | Bangla
- 93Classification: Decision Tree Construction in Machine Learning | Decision Tree Classifier
- 94Confusion Matrix in Machine Learning (Bangla) | Evaluate Classification Models
- 95Confusion Matrix with Python (Bangla) | Machine Learning
- 96What is Cross Validation | K-Fold & Stratified K-Fold Cross Validation | Stats & Machine Learning
- 97XGBoost: Implementing K-Fold Cross Validation with Python & XGBoost Classifier
- 98Machine Learning Tutorial (Bangla) | Logistic Regression Classification Explained with Example
- 99Machine Learning Tutorial (Bangla) | Logistic Regression in Machine Learning (Part-2)
- 100Machine Learning Tutorial (Bengali) | Customer Churn Prediction Using Python Machine Learning
- 101Machine Learning Tutorial (Bangla) | SVM in Machine Learning | Support Vector Machine in ML
- 102Ensemble Learning in Machine Learning: A Gentle Introduction to Ensemble Learning Algorithms
- 103Random Forest: A Complete Guide for Machine Learning | Random Forest Explained | Bangla
- 104Random Forest with Python | Implementing Random Forest for Classification | Bangla
- 105Machine Learning Tutorial | Save ML Model | Pickle vs Joblib | Data Science Tutorial | Python for DS
- 106Grid Search vs Random Search: Hyperparameter Optimization/Tuning
- 107Norms in Machine Learning | Norms Vs. Distance Metrics | Manhattan Distance | Euclidean Distance
- 108Machine Learning Tutorial (Bangla) - KNN | K-Nearest Neighbors Algorithm in ML | KNN Explained
- 109K-Nearest Neighbors Algorithm (KNN) | KNN Regression Python | Data Science Course for Beginners
- 110Machine Learning Tutorial (Bangla) | K-Nearest Neighbors (K-NN) Explained using Python Sklearn
- 111Machine Learning Tutorial (Bangla) | What is CountVectorizer in Python & How CountVectorizer Work
- 112Machine Learning Tutorial (Bengali) | TF-IDF Vectorizer | Feature Extraction Techniques | NLP
- 113Machine Learning Bangla | Naive Bayes Classifier in Machine Learning | Naïve Bayes in ML Bengali
- 114Naive Bayes Algorithm with Python | Machine Learning | Bangla
- 115Python Libraries for Natural Language Processing | NLTK, TextBlob, Gensim, Hugging Face(Transformer)
- 116@aiquest NLP Project: Spam eMail Detection with Naive Bayes Classifiers (Bengali)
- 117Data Science & Machine Learning Project | NLP - Fake News Classification using Machine Learning ✅
- 118Data Science & Machine Learning Project | Breast Cancer Prediction using PyCaret ✅
- 119Scikit-Learn Library for Unsupervised Learning | Machine Learning Bangla Tutorial for Begineers
- 120Cluster Analysis (Bangla) | KMeans Cluster in Machine Learning | Unsupervised Learning, Data Science
- 121How PCA Works? Feature Selection vs Dimensionality Reduction | Principal Component Analysis | Bangla
- 122Dynamic Time Warping | DTW Algorithom | Machine Learning For Time Series
- 12301. How to Complete Deep Learning & AI Course? | Guidelines | Bangla
- 124Roadmap: Complete Deep Learning & Generative AI (Bangla Tutorial)
- 12502. Artificial Neuron in Neural Network | 90 Days of Deep Learning | AI Bangla Tutorial @aiquest
- 12603. Neural Network Explained | Deep Learning (Bangla) | 90 Days of Deep Learning
- 12704. Importance of Activation Functions in Deep Learning (Bangla) | 90 Days of Deep Learning
- 12805. Activation Functions in Neural Networks (Part-02) | Deep Learning | Artificial Intelligence
- 12906. Activation Functions with Python (Part-03) | 90 Days of Deep Learning | Artificial Intelligence
- 13007. What are the Steps Per Epoch? Batch Size | Neural Network in Deep Learning (Bangla)
- 13108. The Math Behind an Artificial Neuron | Forward Propagation | Neural Networks (Bangla)
- 13209. Single Neuron Implement with Python | 90 Days of Deep Learning (Bangla)
- 13310. Learn Calculus for Deep Learning (Bangla) | 60 Days of Deep Learning | Partial Derivative
- 13411. Backpropagation using Chain Rule (Bangla) | 90 Days of Deep Learning | @aiquest
- 13512. Practice: Backpropagation in Neural Network (Bangla) | 90 Days of Deep Learning
- 13613. Norms in Deep Learning/ML (Bangla) | Distance Metrics | Euclidean Distance | Manhattan Distance
- 13714. Convex and Non-Convex Cost Functions in Machine Learning (Bangla) | 90 Days of Deep Learning
- 13815. Gradient Descent Optimizer in Deep Learning/ML (Bangla) | 90 Days of Deep Learning
- 13916. Different Variants of Gradient Descent | Bangla | Deep Learning & AI @aiquest
- 14017. Gradient Descent with Momentum (Bangla) | 90 Days of Deep Learning | Neural Network
- 14118. Gradient Descent With Nesterov Accelerated Gradient (NAG) | Nesterov Momentum | Bangla Tutorial
- 14219. Adaptive Gradient Algorithm (Adagrad) | 90 Days of Deep Learning | Bangla Tutorials
- 14320. Understanding RMSprop Optimizer (Bangla) | Adaptive Optimization in Neural Networks
- 14421. Understanding AdaDelta Optimizer (Bangla) | 90 Days of Deep Learning | Neural Network
- 14522. Understanding Adam & NAdam Optimizer (Bangla) | 90 Days of Deep Learning
- 14623. Understanding AMSGrad Optimizer (Bangla) | 90 Days of Deep Learning | Neural Network
- 14724. Vanishing Gradient Problem in Deep Neural Networks | 90 Days of Deep Learning (Bangla)
- 14825. Exploding Gradient Problem in Deep Neural Networks | 90 Days of Deep Learning | Bangla Tutorial
- 14926. Three Powerful Ways to Build Neural Networks with TensorFlow & Keras | 90 Days of Deep Learning
- 15027. Keras: The High-level API for TensorFlow | 90 Days of Deep Learning & AI | Bangla
- 15128. Customer Churn Prediction using Neural Network & TensorFlow | 90 Days of Deep Learning | Bangla
- 15229. Intro to Computer Vision in Deep Learning | Images | Frame Rates | Pixel Value @aiquest
- 15330. Convolutional Neural Networks (CNN) | Computer Vision | CNN Bangla Tutorial | Deep Learning
- 15431. Convolution Operation | ReLU | Convolutional Neural Network (CNN) | Kernel Operation | Maths
- 15532. Pooling Layer | Flatten Layer & Dense Layer | Convolutional Neural Network (CNN) | Bangla Course
- 15633. Convolutional Neural Networks | Calculating Parameters & Dimensions in CNNs | Deep Learning
- 15734. Convolutional Neural Networks (CNN) in Python | Complete Deep Learning Course | Bangla Tutorial
- 158Computer Vision | Transfer Learning | Vision Transformer(ViT) vs. CNNs
- 159RNN: All you need to know about Recurrent Neural Network | Bangla Tutorial @aiquest
- 160RNN: How Recurrent Neural Network Architecture Work: One-to-One/Many, Many-to-One/Many | Full Bangla
- 161RNN: Main Components of Recurrent Neural Networks (RNNs) | Bangla Tutorial
- 162RNN: Main Steps to Train a Recurrent Neural Network (RNN) | Bangla Tutorial
- 163RNN: Detailed Steps to Unfold a Recurrent Neural Network (RNNs) | Bangla Tutorial
- 164RNN: Calculating Loss & Backpropagation Through Time in Recurrent Neural Networks (RNNs) | Bangla
- 165Backpropagation Through Time (BPTT) in RNN | Chain Rule | 90 Days of Deep Learning | Bangla Tutorial
- 166RNN: Let’s Understand the Problems with Recurrent Neural Networks | Bangla Tutorial
- 167LSTM: Long Short-Term Memory (LSTM) Explained | Bangla Tutorial | @rashakil
- 168LSTM: Long Short-Term Memory (LSTM) with Python | Bangla Tutorial
- 169GRU: Understanding Gated Recurrent Unit (GRU) in Deep Learning | Bangla Tutorial
- 170Transformer Architecture | Attention Is All You Need | Bangla