Overview of Machine Learning & Industry Use Cases

Class 1 | Python Basics

Class 2 | Data Structures (List, Tuple, Set, Dictionary), Control Flow, Looping (For, While), Python Statements (pass, continue, break)

Class 3 | Functions, Lambda, Math Module, Array, OOP

Class 4 | Recap + Integrative Problem Solving

Class 5 | Final Python Problem-Solving Class

NumPy: Arrays, Indexing, Reshaping, Mathematical Ops, Joins, Splits

Pandas: DataFrames, Importing, Cleaning, Filtering, Sorting, Merging, Missing Values

Real-World Data Practice with Pandas

Matplotlib: Line, Bar, Scatter, Histogram, Pie, Customization

Seaborn: Relational, Categorical, and Distribution Plots, Countplot, Swarmplot, Real Dataset Plotting

Data Visualization Project

Data Preprocessing Techniques – Part 1

Data Preprocessing Techniques – Part 2

Real-World Preprocessing Project

Git & GitHub: Repository Setup, Push/Pull, Collaboration

Descriptive & Inferential Statistics

Hypothesis Testing & Correlation

SQL & Relational Databases

Querying for Machine Learning

Machine Learning Algorithm

Machine Learning Algorithm

Supervised Learning: Model Building(Regression), Model Evaluation for regression

Supervised Learning: Model Building(Classification) , Model Evaluation for classification

Unsupervised Learning: Clustering (K-Means, K-Modes, Hierarchical)

Unsupervised Learning: PCA, Market Basket Analysis

Hyperparameter Tuning, overfitting check, Data distribution check, Implement hypothesis testing

Project Discussion

Preprocessing (Tokenization, Stopwords, Stemming, Lemmatization), Bag of Words, TF-IDF, Word2Vec

NLP Projects in English: Sentiment Analysis, Fake News Detection, Bullying Detection

NLP Projects in Bangla: Comment Classification, Article Classification

Intro to ANN, CNN, RNN + Use Cases in ML

TensorFlow & Keras Basics, ANN for Structured Data

CNN for Image Classification (CIFAR-10, Brain MRI)

CNN (Handwritten dataset, Customized dataset: Face Recognition), Fine-Tuning & Augmentation

RNN/LSTM for Text Generation, Sequence Modeling, NLP Deep Learning Project

Flask API, Streamlit UI, Model Deployment (ML & DL Projects)