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Skills Covered in this Path
- Components of Data Science
- Data Science Architecture
- Skills needed to learn Python
- NumPy and Pandas libraries
- Python Basics
- NumPy
- Pandas
- Matplotlib
- Seaborn
- Plotly
- Basics of Probability
- Marginal Probability
- Bayes Theorem
- Probability
- Statistics
- Normal Distribution
- Sampling Distribution
- Hypothesis
- Central Limit Theorem
- Tableau
- Data Visualization
- Data Science
- Data Visualization
- Power BI
- Components of Power BI
- Visual Analytics
- Practical visualization walkthrough
- IPL data analysis with Python
- Visualising
- Regression Analysis
- Python
- Statistics
- Reinforcement learning
- Machine learning
- ANN
- Tensorflow
- Keras
- Gradient
- Backpropagation
- Reinforcement Learning
- States
- Actions
- State based mechanism in Reinforcement Learning
- Perceptron
- ANN
- Gradient
- Backpropagation
- Activation Functions
- Softmax Function
- Data Augmentation
- Weight Initialization
- Regularization
- Image processing using Neural Networks
- Image Classification
- Case study problems
- Object Detection Using OpenCV and Python Converting Images to Different Forms"
- Image processing
- OpenCV with Python
- TensorFlow
- MNIST Dataset
- Covid-19 detection
- Tokenization
- Stemming
- Lemmatization
- Removing Stopwords
- Modeling Techniques in NLP
- Machine Learning and Logistic Regression
- Sentiment Analysis
- Functionalities of Textblob
- Textblob Sentiment Analysis
- U-Net
- Semantic Segmentation
- NLP Use-cases
- NLP Project
- Forecasting using Python
- Exponential Smoothing
- ARIMA
- Time Series in R
- Feature Selection
- Linear Discriminant Analysis with Python
- Flask
- Model Deployment
- Model Deployment
- Heroku
- Version Control
- Containerising
- Continuous Integration
- Docker
- Docker Best practices
- Optimizing Docker Files
- Docker
- Docker Storage
- Docker Network
- Docker Compose
- Docker
- grafana
- prometheus
- Docker Monitoring
- Docker
- Docker swarm
- Orchestration
- AWS ECR
- AWS ECS
- Docker
- grafana
- prometheus
- Docker Monitoring
- Spring boot
- Deployment
- GitHub
- Committing
- Merging
- Branches
- Creating Pull Requests
- R Commands
- R Packages
- R Functions
- R Datatypes
- Operators in R
- RStudio
- Time series analysis
- Model forecast theory
- Time Series Forecasting
- Time Series Demo
- OpenCV
- Face Detection
- Face Recognition
- Deep Learning
- OpenCV Operations
- Face Detection demo
- Face Detection
- Face Recognition
- Applications of Face Recognition
- Face Detection using OpenCV using Python
- Healthcare analytics
