theonlyNischal · asthathapaa · Dec 7, 2024 · Dec 9, 2024 · Dec 9, 2024 · Jan 21, 2025
diff --git a/...and Machine Learning(DSML)/DSML/DSML CLASS ACTIVITY (CODE_LAB)/timeSeriesForecasting.xlsx b/...and Machine Learning(DSML)/DSML/DSML CLASS ACTIVITY (CODE_LAB)/timeSeriesForecasting.xlsx
diff --git a/...ine Learning(DSML)/DSML/Data-Science-and-Machine-Leaning-practices/Gradient_Descent.ipynb b/...ine Learning(DSML)/DSML/Data-Science-and-Machine-Leaning-practices/Gradient_Descent.ipynb
diff --git a/...Machine Learning(DSML)/DSML/Data-Science-and-Machine-Leaning-practices/Iris_data_training b/...Machine Learning(DSML)/DSML/Data-Science-and-Machine-Leaning-practices/Iris_data_training
diff --git a/...ne Learning(DSML)/DSML/Data-Science-and-Machine-Leaning-practices/Linear_Regression.ipynb b/...ne Learning(DSML)/DSML/Data-Science-and-Machine-Leaning-practices/Linear_Regression.ipynb
diff --git a/...ng(DSML)/DSML/Data-Science-and-Machine-Leaning-practices/Multiple_Linear_Regression.ipynb b/...ng(DSML)/DSML/Data-Science-and-Machine-Leaning-practices/Multiple_Linear_Regression.ipynb
diff --git a/...and Machine Learning(DSML)/DSML/Data-Science-and-Machine-Leaning-practices/OutLiers.ipynb b/...and Machine Learning(DSML)/DSML/Data-Science-and-Machine-Leaning-practices/OutLiers.ipynb
diff --git a/...achine Learning(DSML)/DSML/Data-Science-and-Machine-Leaning-practices/README.md b/...achine Learning(DSML)/DSML/Data-Science-and-Machine-Leaning-practices/README.md
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+# Data Science and Machine Learning Practices
+
+Welcome to my Data Science and Machine Learning repository! 🎉
+
+I am currently a **5th-semester student** diving into the fascinating world of **Data Science** and **Machine Learning**. This repository serves as my learning journal, where I document my journey, share projects, and explore concepts.
+
+---
+
+## 📚 **About the Repository**
+This repository contains code, notes, and examples covering various topics in Data Science and Machine Learning. Here you'll find:
+
+- Practice notebooks
+- Projects
+- Resources
+- Code snippets
+
+---
+
+## 🛠️ **Technologies and Tools**
+Some of the tools and libraries I use:
+
+- **Programming Languages**: Python
+- **Libraries**: 
+  - NumPy
+  - Pandas
+  - Matplotlib
+  - Seaborn
+  - Scikit-learn
+  - TensorFlow
+  - PyTorch
+- **Tools**: Jupyter Notebook, Google Colab, GitHub
+
+---
+
+## 🚀 **Current Focus**
+
+1. **Data Preprocessing**: Handling missing values, outliers, normalization, and more.
+2. **Exploratory Data Analysis (EDA)**: Gaining insights through visualization.
+3. **Supervised Learning**: Regression and classification.
+4. **Unsupervised Learning**: Clustering and dimensionality reduction.
+5. **Deep Learning Basics**: Neural networks and frameworks.
+
+---
+
+## 🌟 **Goals**
+
+- Master foundational concepts of Data Science and Machine Learning.
+- Build real-world projects.
+- Explore advanced ML topics such as NLP and computer vision.
+
+---
+
+## 🤝 **Contributing**
+
+Feel free to fork this repository, explore, and suggest improvements. Let’s learn together!
+
+---
+
+## 📧 **Contact Me**
+
+- **Email**: [[email protected]](mailto:[email protected])
+- **GitHub**: [Astha Thapa](https://github.com/asthathapaa)
+
+---
+
+Thank you for visiting my repository. Happy learning! 🚀
diff --git a/CMM 336_Data Science and Machine Learning(DSML)/README.md b/CMM 336_Data Science and Machine Learning(DSML)/README.md
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diff --git a/CMP 340_Software Design & Architecture(SDA)/SDA_Unit 1.pdf b/CMP 340_Software Design & Architecture(SDA)/SDA_Unit 1.pdf
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diff --git a/..._PQT-Probability and Queing Theroy/MTH 216 Probability and Statistics_(New_Syallabus).pdf b/..._PQT-Probability and Queing Theroy/MTH 216 Probability and Statistics_(New_Syallabus).pdf
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