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Skills Covered in this Path
- NumPy Arrays
- NumPy Operations
- NumPy Math
- Saving & Loading NumPy
- Pandas Series
- Pandas DataFrame
- Pandas Functions (Mean
- Median
- Max
- Min)
- Data Manipulation
- Supervised Learning
- Unsupervised Learning
- Machine Learning with Python
- Data Analytics
- Problem-solving
- Insights
- Predictive Modeling
- Business Intelligence
- Data Science Process
- Data Preprocessing Techniques
- Data Science Components
- Career Trajectory
- Programming Basics
- Data Handling using Python
- Numpy and Pandas
- Python Basics
- NumPy
- Pandas
- Matplotlib
- Seaborn
- Plotly
- Practical visualization walkthrough
- IPL data analysis with Python
- Python
- Statistics
- Reinforcement learning
- Machine learning
- ANN
- Tensorflow
- Keras
- Gradient
- Backpropagation
- 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
- Data augmentation
- Model training & tuning
- Regularization
- Image processing (NNs)
- Feature & object detection
- Image classification
- CV problem-solving
- Pixel & image manipulation
- 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
- NLP modeling techniques
- machine learning
- logistic regression
- sentiment analysis
- TextBlob
- TextBlob sentiment analysis
- U-Net
- semantic segmentation
- NLP Use-cases
- NLP Project
- Python
- Natural Language Processing
- chatbot architecture
- use of libraries (e.g. NLTK
- transformers)
- APIs
- user interaction logic
- 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