Complete Data Science, ML, DL & NLP Bootcamp
π§ Complete Data Science, ML, DL & NLP Bootcamp
Duration: 4β6 months | Mode: Offline | Level: Beginner to Advanced
Certificate: Yes | Live Projects: Included
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π Course Overview
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ETU Academyβs Bootcamp is designed to transform beginners into skilled data scientists. Covering core data handling, machine learning, deep learning, and NLP, this course combines theory with real-world applications and hands-on projects.
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π Syllabus Breakdown
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πΉ Module 1: Python for Data Science
Python basics: variables, loops, functions
NumPy, Pandas for data manipulation
Data visualization: Matplotlib, Seaborn
Exploratory Data Analysis (EDA)
πΉ Module 2: Statistics & Probability
Descriptive & inferential statistics
Probability distributions
Hypothesis testing
Correlation & regression
πΉ Module 3: Data Wrangling & Cleaning
Handling missing data
Data type conversions
Feature engineering
Data pipelines
πΉ Module 4: Machine Learning
Supervised vs. Unsupervised learning
Regression & classification algorithms
Decision Trees, Random Forest, KNN
Clustering: K-Means, DBSCAN
Model evaluation & tuning (cross-validation, GridSearchCV)
πΉ Module 5: Deep Learning (DL)
Neural networks basics
Activation functions & optimizers
TensorFlow & Keras introduction
CNNs for image classification
RNNs and LSTM for sequences
πΉ Module 6: Natural Language Processing (NLP)
Text preprocessing (Tokenization, Lemmatization)
Sentiment analysis
Word embeddings: Word2Vec, GloVe
Transformers & BERT (introductory level)
Chatbot & language model mini-projects
πΉ Module 7: Model Deployment
Streamlit & Flask for app building
Saving models using Pickle/joblib
Deploying models on cloud (Heroku, Render)
πΉ Module 8: Capstone Projects
Real-world datasets & client scenarios
Group projects & presentations
Git/GitHub version control
Peer code reviews
π― Key Highlights
π Hands-on with tools: Jupyter, Scikit-learn, TensorFlow, Keras, NLTK, HuggingFace
π Real datasets from Kaggle, UCI, and internal case studies
π§βπ« 1-on-1 mentorship and career guidance
πΌ Resume and LinkedIn profile building sessions