Pinned Repositories
Artificial-Intelligence-for-trading-Nanodegree
Nanodegree Projects
Colab-Notebooks
CSE598
Assignment
Data-Engineering-Nanodegree
Consist major projects description and code
Descriptive-Statistics
Contain basic Statistics fundamental notebook exploration on case study of cardio fitness
DLND
Deep learning Nanodegree Udacity
dlsys-solution
My solutions to the assignments of dlsys course (CSE599G1: Deep Learning System Spring 2017)
Newyork-Taxi-Fare-prediction-Kaggle-competition
In this playground competition, hosted in partnership with Google Cloud and Coursera, you are tasked with predicting the fare amount (inclusive of tolls) for a taxi ride in New York City given the pickup and dropoff locations. While you can get a basic estimate based on just the distance between the two points, this will result in an RMSE of $5-$8, depending on the model used (see the starter code for an example of this approach in Kernels). Your challenge is to do better than this using Machine Learning techniques!
nlp_paper_summaries
✍️ A carefully curated list of NLP paper summaries
NLPCosmosQA
samkit27's Repositories
samkit27/Artificial-Intelligence-for-trading-Nanodegree
Nanodegree Projects
samkit27/Colab-Notebooks
samkit27/CSE598
Assignment
samkit27/Data-Engineering-Nanodegree
Consist major projects description and code
samkit27/Descriptive-Statistics
Contain basic Statistics fundamental notebook exploration on case study of cardio fitness
samkit27/DLND
Deep learning Nanodegree Udacity
samkit27/dlsys-solution
My solutions to the assignments of dlsys course (CSE599G1: Deep Learning System Spring 2017)
samkit27/Newyork-Taxi-Fare-prediction-Kaggle-competition
In this playground competition, hosted in partnership with Google Cloud and Coursera, you are tasked with predicting the fare amount (inclusive of tolls) for a taxi ride in New York City given the pickup and dropoff locations. While you can get a basic estimate based on just the distance between the two points, this will result in an RMSE of $5-$8, depending on the model used (see the starter code for an example of this approach in Kernels). Your challenge is to do better than this using Machine Learning techniques!
samkit27/nlp_paper_summaries
✍️ A carefully curated list of NLP paper summaries
samkit27/NLPCosmosQA
samkit27/opencv
Open Source Computer Vision Library
samkit27/transformers
🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.
samkit27/twitter-sentiment-analysis-
twitter sentiment analysis using different natural language processing activities and classification techniques