🚀 AI & Deep Learning Journey 🎯 A structured path to mastering AI, Machine Learning, and Deep Learning with hands-on projects!

📌 Repository Structure 🔍 Organized into sections covering fundamental to advanced concepts.

objectivec Copy Edit 📁 Machine_Learning
├── 📄 Linear_Regression.ipynb
├── 📄 Decision_Tree.ipynb

📁 Deep_Learning
├── 📄 CNN_Image_Classifier.ipynb
├── 📄 NLP_Text_Classification.ipynb

📁 Projects
├── 📄 Stock_Price_Prediction.ipynb
├── 📄 Sentiment_Analysis_Twitter.ipynb

📁 Notes
├── 📝 ML_Concepts.md
├── 📝 Deep_Learning_Notes.md
📚 Learning Roadmap ✔ Step 1: Learn Machine Learning algorithms 🧠 ✔ Step 2: Explore Deep Learning with CNNs & NLP 🤖 ✔ Step 3: Work on real-world projects 🚀 ✔ Step 4: Document and share knowledge 📖

💡 Projects & Implementations 📌 Stock Price Prediction - Predict stock trends using ML 📈 📌 Sentiment Analysis - Twitter sentiment classification 💬 📌 CNN Image Classifier - Recognizing images using CNNs 🖼 📌 NLP Text Classification - Text sentiment prediction 📝

⚡ Getting Started 1️⃣ Clone this repository

bash Copy Edit git clone https://github.com/your-username/AI-Deep-Learning-Journey.git cd AI-Deep-Learning-Journey 2️⃣ Install dependencies

bash Copy Edit pip install -r requirements.txt 3️⃣ Run Jupyter Notebook

bash Copy Edit jupyter notebook 🤝 Contributions & Collaboration 💡 Got an idea? Open a pull request! 🔍 Found a bug? Submit an issue! 📢 Want to contribute? Fork and start coding!

📌 Stay Connected 📧 Email: your.email@example.com 🔗 LinkedIn: https://www.linkedin.com/in/ritikesh-machhewar-36381b179/