Bala Priya C
Bala Priya C
Write code the following Activation Functions Be sure to include the plots and elaborate on the advantages and disadvantages (vanishing gradient, dead neuron problem etc for example) Sigmoid, ReLU, Leaky...
- Choose a sample text - Apply suitable text pre-processing - Lowercasing - Removing punctuations - Removing special characters - Expanding contractions - Remove stopwords
- Use Decision Tree to solve a classification problem - You may use the tree based models available in scikit-learn 🙂
- Implement K Means Clustering to compress image - pls include visualization of original colour space and reduced dimension colour space after compression
- Significance of PCA in Dimensionality Reduction - Explain the working of the algo - Use NumPy and scipy linalg module for eigen decomposition of matrices, do not use in-built...
- Pls do not use sklearn
- Use Geospatial dataset from kaggle/ML repositories (restrict to shapefile,GeoJSON files) - Identify the libraries for geospatial analysis and visualization - Perform EDA - Present your understanding - Include all...
- Understand intuition behind large margin classifiers -Pls feel free to experiment with different choices of kernels - Choose any dataset that you find interesting from kaggle/UCI ML repository
- Use only NumPy; not scikit-learn - Use either randomly generated dataset or simple dataset from kaggle - Pls include EDA section in your notebook for the chosen dataset -...
- When are density based clustering approaches more relevant? - Give a practical use case of DBSCAN