Singaporean Cryptocurrency Analysis 📜

Singaporean Cryptocurrency Analysis/Dataset/README.md

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+The Dataset is used here is taken from the Kaggle database website. You can download the file from the link given here, [Singaporean Cryptocurrency Analysis](https://www.kaggle.com/datasets/imperialwarrior/singapore-crypto)

Singaporean Cryptocurrency Analysis/Models/README.md

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+<h1>Singaporean Cryptocurrency Anlaysis</h1>
+
+**GOAL**
+
+To analyze the Singaporean Dataset using Exploratory Data analysis.
+
+**DATASET**
+
+https://www.kaggle.com/datasets/imperialwarrior/singapore-crypto
+
+**DESCRIPTION**
+
+To analyze the dataset of Singaporean Cryptocurrency Analysis 
+
+**WHAT I HAD DONE**
+
+* Checked for first dataset values out of 7537 datasets.
+* Checked for missing values and cleaned the data accordingly.
+* Analyzed the data, found insights and visualized them accordingly.
+* Found detailed insights of different columns with target variable using plotting libraries.
+* Train the datasets by different models and saves their accuracies into a dataframe.
+
+
+**LIBRARIES NEEDED**
+
+1. Pandas
+2. Plotly
+3. Sklearn
+4. NumPy
+5. XGBoost
+6. Tensorflow
+7. Keras
+
+
+**CONCLUSION**
+
+- Linear Regression and Decision Tree Regression Models are best fitted to the datasets.
+- Accuracy achieved is around 99.5 %.
+- LSTM Model also perfoms well on the datasets as their MSE and R2 scores are very much good.
+
+
+**YOUR NAME**
+
+*Avdhesh Varshney*
+
+[![LinkedIn](https://img.shields.io/badge/linkedin-%230077B5.svg?style=for-the-badge&logo=linkedin&logoColor=white)](https://www.linkedin.com/in/avdhesh-varshney-5314a4233/)  [![GitHub](https://img.shields.io/badge/github-%23121011.svg?style=for-the-badge&logo=github&logoColor=white)](https://github.com/Avdhesh-Varshney)
+