https://github.com/sayamalt/lgmvip-data-science

https://github.com/sayamalt/lgmvip-data-science

Last synced: 8 months ago
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• Host: GitHub
• URL: https://github.com/sayamalt/lgmvip-data-science
• Owner: SayamAlt
• Created: 2021-09-19T16:00:56.000Z (almost 5 years ago)
• Default Branch: main
• Last Pushed: 2021-09-19T16:08:19.000Z (almost 5 years ago)
• Last Synced: 2024-12-28T08:09:58.558Z (over 1 year ago)
• Language: Jupyter Notebook
• Size: 4.57 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# LGMVIP-DataScience

This repo consists of some of the Tasks of LGMVIP, containing various supervised and unsupervised machine learning techniques to solve real-life problems in a synchronized and systematic way.

# Direct Link

* [Iris Flowers Classification](https://github.com/SayamAlt/LGMVIP-Data-Science/blob/main/Iris%20Flowers%20Classification%20using%20ML.ipynb)

* [Stock Market Prediction And Forecasting Using Stacked LSTM](https://github.com/SayamAlt/LGMVIP-Data-Science/blob/main/Stock%20Market%20Prediction%20%26%20Forecasting%20using%20Stacked%20LSTM.ipynb)

* [Exploratory Data Analysis on Dataset - Terrorism](https://github.com/SayamAlt/LGMVIP-Data-Science/blob/main/EDA%20on%20Global%20Terrorism%20Dataset.ipynb)

* [Prediction using Decision Tree Algorithm - Iris Dataset](https://github.com/SayamAlt/LGMVIP-Data-Science/blob/main/Prediction%20using%20Decision%20Tree%20Algorithm.ipynb)

# Prerequisites (For Execution of the Models/Programs)

```

pip install keras

pip install tensorflow

pip install numpy

pip install pandas

pip install jupyter

pip install seaborn

pip install scipy

pip install matplotlib

pip install scikit-learn

```

# 🛠 Build with 

* Scikit-learn

* Keras

* Tensorflow

# Author 

* [Sayam Kumar](https://www.linkedin.com/in/sayam-kumar/)

# 🙏Acknowledgments

* Special Thanks to [LGM](https://www.linkedin.com/company/letsgrowmore/) And [Mr. Aman Kesarwani](https://www.linkedin.com/in/~amankesarwani/) for this wonderful internship program and for arousing inspiration to do better.

# 💡IDE 

```

Jupyter Notebook

```

# 👏And it's done!