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Skills Covered in this Path
- Tokenization
- stemming
- lemmatization
- removing stopwords
- NLP modeling techniques
- machine learning
- logistic regression
- sentiment analysis
- TextBlob
- TextBlob sentiment analysis
- U-Net
- semantic segmentation
- NLP Basics
- TextBlob Introduction
- Functionalities of Textblob
- Textblob Sentiment Analysis
- U-Net
- Semantic Segmentation
- Customer Engagement
- NLP
- Social Media Analytics
- Text Pre-processing
- Vectorization
- Modeling
- Amazon Reviews Sentiment Analysis
- Twitter Sentiment Analysis
- Introduction to Recommendation Systems
- Movie Recommendation Demo
- ANN Model
- Keras
- Python
- Weights
- Biasis
- Activation
- Back Propagation
- Time Series Forecasting
- ANN and RNN
- Understanding image processing
- Using Convolutional Neural Networks
- Face recognition using Python
- Building a virtual assistant
- NLP Use-cases
- NLP Project
- Python
- Natural Language Processing
- chatbot architecture
- use of libraries (e.g. NLTK
- transformers)
- APIs
- user interaction logic
- AI Fundamentals
- Python for AI
- Neural Networks Basics
- Biological vs. Artificial Neurons
- Perceptron Mechanism
- ANN Architecture
- Activation Functions
- Forward Propagation
- Loss Functions
- Keras Framework
- Gradient Descent
- MNIST Application
- TensorFlow
- ANN
- Tensorflow
- Keras
- Gradient
- Backpropagation
