GitHub - Sushmashreeps/Data-Science-with-Python: This repository showcases a comprehensive data science project utilizing Python, demonstrating expertise in data analysis, visualization, and machine learning. Built with Python 3.x, the project leverages popular libraries like Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn, and TensorFlow. The project features data preprocessing, feature engine

1.Python

2.Jupyter Notebook

3.Numpy

4.Pandas

5.Matplotlib for data visualization

6.Machine Learning using sklearn

Name		Name	Last commit message	Last commit date
Latest commit History 8 Commits
.github/workflows		.github/workflows
CarPrice-LinearRegression.ipynb		CarPrice-LinearRegression.ipynb
Correlation_and_scatter_plots_.ipynb		Correlation_and_scatter_plots_.ipynb
Correlation_coefficient.ipynb		Correlation_coefficient.ipynb
Frequency_Distribution.ipynb		Frequency_Distribution.ipynb
Linear_&_Multiple_Regression.ipynb		Linear_&_Multiple_Regression.ipynb
MatplotLib (1).ipynb		MatplotLib (1).ipynb
Matplotlib.ipynb		Matplotlib.ipynb
Noise_Accumulation_&_Spurious_Corelation (1).ipynb		Noise_Accumulation_&_Spurious_Corelation (1).ipynb
NumPy.py		NumPy.py
Pandas (2).ipynb		Pandas (2).ipynb
README.md		README.md
cardioGoodFit.ipynb		cardioGoodFit.ipynb
cnn.ipynb - Colab.pdf		cnn.ipynb - Colab.pdf
dropout_classification_example.ipynb		dropout_classification_example.ipynb
dropout_notebook.ipynb		dropout_notebook.ipynb
iris._data_set.ipynb		iris._data_set.ipynb
keras.ipynb - Colab.pdf		keras.ipynb - Colab.pdf
pyBasic.ipynb		pyBasic.ipynb
pyplot.ipynb		pyplot.ipynb
rnn.ipynb - Colab.pdf		rnn.ipynb - Colab.pdf

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