Pinned Repositories
All-Hyperparamter-Optimization
amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
AmazonSageMakerCourse
AWS Machine Learning Specialty Course
AutoArima-Time-Series-Blog
This is the code notebook for the blog post on using Python and Auto ARIMA
free-ai-resources
🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!
LLM-Langchain
machine_learning_examples
A collection of machine learning examples and tutorials.
Pedestrian-Detection-and-Tracking-for-Autonomous-Vehicles
This project uses Histogram of Oriented Gradients for pedestrian detection and Kalman Filter for tracking and prediction
Top-Deep-Learning
Top 200 deep learning Github repositories sorted by the number of stars.
rjybidda's Repositories
rjybidda/Natural-Language-Processing
rjybidda/AutoArima-Time-Series-Blog
This is the code notebook for the blog post on using Python and Auto ARIMA
rjybidda/Stock-Sentiment-Analysis
rjybidda/Feature-Selection-techniques
rjybidda/Machine_Learning-_Resources
Machine Learning Resources by Jason Brownlee
rjybidda/Pedestrian-Detection-and-Tracking-for-Autonomous-Vehicles
This project uses Histogram of Oriented Gradients for pedestrian detection and Kalman Filter for tracking and prediction
rjybidda/Microsoft-Malware-Detection
rjybidda/practical-machine-learning-with-python
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
rjybidda/Neural-Network-Projects-with-Python
Neural Network Projects with Python, Published by Packt
rjybidda/SpamClassifier
rjybidda/PyTorch_Image_Classifier
rjybidda/PyTorch_Image_Captioning
PyTorch Image Captioning CNN-RNN Model.
rjybidda/car-damage-detector
Detect dents and scratches in cars. Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow.
rjybidda/missing_data_imputation
Python code for applying missing data imputation methods.