Data Science Gurukul

List of resources, interview questions, concepts I use for my Data Science work.

Topics:

• Basics of Programming with Python + Understanding of Data Structures and Algorithms
• Data Visualization and Exploratory Data Analysis
• Probability and Statistics
• Statistical Testing and Inference
• Linear Algebra
• Dimensionality Reduction
• Basics of Machine Learning
• Classification
• Regression
• Clustering
• Basics of NLP
• Peformance Metrics for Machine Learning Models
• Hyperparameter Optimization
• Feature Engineering
• Time Series Analysis
• Deployment and Productionization
• Basics of Neural Networks
• CNN
• Basics of RNN
• GANs
• Transformers
• Image Classification
• Object Detection
• Image Segmentation
• Keypoint Detection and Pose Estimation
• Audio Classification
• ML System Design
• MLOPS