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Skills Covered in this Path
- NumPy
- Pandas
- Components of Data Science
- Data Science Architecture
- Skills needed to learn Python
- NumPy and Pandas libraries
- Python Basics
- NumPy
- Pandas
- Matplotlib
- Seaborn
- Plotly
- Practical visualization walkthrough
- IPL data analysis with Python
- Python
- Statistics
- Reinforcement learning
- Machine learning
- 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
- 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
- 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
- Types of Chatbots
- Top applications of Chatbots
- Architecture of Chatbots
- Hands-on demonstration of Building a Chatbot
- Introduction to Recommendation Systems
- Movie Recommendation Demo
- Tensorflow
- Keras
- Neural Networks
- Linear Regression using Tensorflow
- MNIST Character Recognition
- Image classification using CNN
- TensorFlow library
- Deep Learning
- Neural Networks
- Artificial Intelligence
- Image Classification
- Tensors
- Python
- CNN
- ANN
- RNN
- Tensorflow
- Deep Learning Algorithms
