AI Mastery Bootcamp: 30 Projects in 30 Days (2024 Edition)
Focused View
4:43:57
1 - Basic Calculator using Python.mp4
13:14
2 - Image Classifier using Keras and TensorFlow.mp4
22:32
3 - Simple Chatbot using predefined responses.mp4
08:21
4 - Spam Email Detector using Scikitlearn.mp4
16:17
5 - Handwritten Digit Recognition with MNIST dataset.mp4
11:52
6 - Sentiment Analysis on text data using NLTK.mp4
17:54
7 - Movie Recommendation System using cosine similarity.mp4
13:32
8 - Predict House Prices with Linear Regression.mp4
16:25
9 - Weather Forecasting using historical data.mp4
11:28
10 - Basic Neural Network from scratch.mp4
21:19
11 - Stock Price Prediction using historical data with a simple Linear Regression.mp4
13:01
12 - Predict Diabetes using logistic regression.mp4
11:35
13 - Dog vs Cat Classifier with CNN.mp4
14:30
14 - TicTacToe AI using Minimax Algorithm.mp4
10:17
15 - Credit Card Fraud Detection using Scikitlearn.mp4
07:20
16 - Iris Flower Classification using decision trees.mp4
06:42
17 - Simple Personal Assistant using Python speech libraries.mp4
10:09
18 - Text Summarizer using Gensim.mp4
06:41
19 - Fake Product Review Detection using NLP techniques.mp4
06:48
20 - Detect Emotion in Text using Natural Language Toolkit NLTK.mp4
06:28
21 - Book Recommendation System using collaborative filtering.mp4
07:06
22 - Predict Car Prices using Random Forest.mp4
07:12
23 - Identify Fake News using Naive Bayes.mp4
07:52
24 - Create a Resume Scanner using keyword extraction.mp4
07:31
25 - Customer Churn Prediction using classification algorithms.mp4
07:51
More details
Course Overview
This intensive bootcamp provides hands-on experience building 30 real-world AI projects in 30 days, covering machine learning, deep learning, and practical applications to accelerate your AI expertise.
What You'll Learn
- Build diverse AI applications from image classifiers to recommendation systems
- Implement machine learning algorithms with Python and TensorFlow
- Develop practical NLP solutions including chatbots and text analysis
Who This Is For
- Aspiring AI professionals building foundational skills
- Data scientists expanding into machine learning
- Developers integrating AI into applications
Key Benefits
- Project-based learning with immediate practical application
- Covers computer vision, NLP, and predictive modeling
- Portfolio-ready projects demonstrating AI proficiency
Curriculum Highlights
- Fundamentals: Python, Keras, and TensorFlow basics
- Machine Learning: Regression, classification, clustering
- Advanced Applications: CNNs, NLP, recommendation systems
Focused display
Category
- language english
- Training sessions 25
- duration 4:43:57
- Release Date 2025/05/10
