Ankit-Kumar-Saini
A self-motivated learner with a genuine interest in applying machine learning algorithms to real-world problems
https://plaksha.org/techleaders/Gurugram, Haryana, India
Pinned Repositories
Applications-of-Data-Science
Programming assignments to demonstrate the Applications of Data Science. These were completed as part of the Plaksha Tech Leaders Fellowship program.
Coursera_Deep_Learning_Specialization
Implementation of Logistic Regression, MLP, CNN, RNN & LSTM from scratch in python. Training of deep learning models for image classification, object detection, and sequence processing (including transformers implementation) in TensorFlow.
Coursera_Generative_Adversarial_Networks_Specialization
Coursera_Natural_Language_Processing_Specialization
Implementation of state-of-the-art NLP models using transformers for tasks including machine translation, text-summarization, chatbots, and question answering.
Coursera_TensorFlow_Advanced_Techniques_Specialization
Used the Functional API to built custom layers and non-sequential model types in TensorFlow, performed object detection, image segmentation, and interpretation of convolutions. Used generative deep learning including Auto Encoding, VAEs, and GANs to create new content.
Data_Science
Data analysis & visualization of "2020 Kaggle Machine Learning & Data Science Survey" to highlight the tools and best practices used by the Data Science Practitioners along with a blog post on Medium.
Disaster-Response-NLP-Pipeline
End-to-end machine learning pipeline to classify disaster messages into 36 categories and a web app to deploy the trained model.
Dog_Breed_Classifier
End-to-end deep learning pipeline to classify images of dogs and humans to determine what breed the human or dog most resembles
Machine-Learning-Lab-Plaksha
Programming assignments covering fundamentals of machine learning and deep learning. These were completed as part of the Plaksha Tech Leaders Fellowship program.
Machine_Learning_Udacity
Ankit-Kumar-Saini's Repositories
Ankit-Kumar-Saini/Coursera_Deep_Learning_Specialization
Implementation of Logistic Regression, MLP, CNN, RNN & LSTM from scratch in python. Training of deep learning models for image classification, object detection, and sequence processing (including transformers implementation) in TensorFlow.
Ankit-Kumar-Saini/Coursera_TensorFlow_Advanced_Techniques_Specialization
Used the Functional API to built custom layers and non-sequential model types in TensorFlow, performed object detection, image segmentation, and interpretation of convolutions. Used generative deep learning including Auto Encoding, VAEs, and GANs to create new content.
Ankit-Kumar-Saini/Coursera_Natural_Language_Processing_Specialization
Implementation of state-of-the-art NLP models using transformers for tasks including machine translation, text-summarization, chatbots, and question answering.
Ankit-Kumar-Saini/Dog_Breed_Classifier
End-to-end deep learning pipeline to classify images of dogs and humans to determine what breed the human or dog most resembles
Ankit-Kumar-Saini/Applications-of-Data-Science
Programming assignments to demonstrate the Applications of Data Science. These were completed as part of the Plaksha Tech Leaders Fellowship program.
Ankit-Kumar-Saini/Disaster-Response-NLP-Pipeline
End-to-end machine learning pipeline to classify disaster messages into 36 categories and a web app to deploy the trained model.
Ankit-Kumar-Saini/Machine-Learning-Lab-Plaksha
Programming assignments covering fundamentals of machine learning and deep learning. These were completed as part of the Plaksha Tech Leaders Fellowship program.
Ankit-Kumar-Saini/Coursera_Generative_Adversarial_Networks_Specialization
Ankit-Kumar-Saini/Data_Science
Data analysis & visualization of "2020 Kaggle Machine Learning & Data Science Survey" to highlight the tools and best practices used by the Data Science Practitioners along with a blog post on Medium.
Ankit-Kumar-Saini/Machine_Learning_Udacity
Ankit-Kumar-Saini/Recommendation_Systems