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🧠Build AI Apps Locally with Streamlit, FastAPI & Ollama – No Cloud Required!
A Hands-On Masterclass to Kickstart Your AI Engineering Journey Using Python, Open Source Tools, and LLMs on Your Laptop
Apr 7
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Gourav Shah
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🧠Build AI Apps Locally with Streamlit, FastAPI & Ollama – No Cloud Required!
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1:20:54
March 2025
🚀 Exclusive AI Learning Opportunity – 1000 Free Spots! 🧠🔥
Get started with Open source LLMs such as QwQ, Deepseek, LLama, etc.
Mar 13
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Gourav Shah
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🚀 Exclusive AI Learning Opportunity – 1000 Free Spots! 🧠🔥
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The Ghajini Problem and Model Context Protocol
Understanding Model Context Protocol without a Computer Science Degree
Mar 12
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Gourav Shah
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The Ghajini Problem and Model Context Protocol
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February 2025
AI Engineering: Building Applications with Foundation Models by Chip Huyen
Book Review - A Comprehensive Guide for AI Practitioners to Leverage Foundation Models in Application Development
Feb 7
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Gourav Shah
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AI Engineering: Building Applications with Foundation Models by Chip Huyen
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Part 27 - Implementing Transformers for Sentiment Analysis
Machine Learning Algorithms Series - Building a Transformer Model in Python for Enhanced Natural Language Processing
Feb 6
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Gourav Shah
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Part 27 - Implementing Transformers for Sentiment Analysis
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Part 26 - Long Short-Term Memory (LSTM) Networks for Sentiment Analysis
Machine Learning Algorithms Series - Implementing an LSTM Network for Enhanced Movie Review Sentiment Analysis in Python
Feb 6
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Gourav Shah
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Part 26 - Long Short-Term Memory (LSTM) Networks for Sentiment Analysis
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Part 25 - Recurrent Neural Networks (RNNs) for Sentiment Analysis
Machine Learning Algorithms - Implementing an RNN for Movie Review Sentiment Analysis in Python
Feb 6
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Gourav Shah
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Part 25 - Recurrent Neural Networks (RNNs) for Sentiment Analysis
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Part 24 - Convolutional Neural Networks (CNNs) for Image Classification
Machine Learning Algorithms - Implementing a CNN for Handwritten Digit Recognition in Python
Feb 6
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Gourav Shah
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Part 24 - Convolutional Neural Networks (CNNs) for Image Classification
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Part 23 - Isolation Forest for Anomaly Detection
Machine Learning Algorithms Series- Implementing Anomaly Detection with Isolation Forest in Python
Feb 6
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Gourav Shah
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Part 23 - Isolation Forest for Anomaly Detection
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Part 22 - One-Class SVM for Anomaly Detection
Machine Learning Algorithms Series - Implementing Anomaly Detection with One-Class SVM in Python
Feb 6
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Gourav Shah
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Part 22 - One-Class SVM for Anomaly Detection
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Part 21 - Policy Gradient Methods in Reinforcement Learning
Machine Learning Algorithms Series - Implementing REINFORCE with TensorFlow and Gym
Feb 6
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Gourav Shah
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Part 21 - Policy Gradient Methods in Reinforcement Learning
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Part 20 - Implementing Deep Q-Networks (DQN) in Python
Machine Learning Algorithms Series - Reinforcement Learning with PyTorch
Feb 6
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Gourav Shah
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Part 20 - Implementing Deep Q-Networks (DQN) in Python
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