Pinned Repositories
Google-Maps-Restaurant-Scrapper
With this program, you would be able to scrap Retaurants data from Google Maps using Google Geo Location API. Unfortunately, the API provided reached at it's capacity. So, it didn't worked out with that. I couldn't test the program. That's why I am submitting as far as I could do.
Kaggle-Data-Cleaning-Exercise
The-Trending-Topics-in-Machine-Learning
The NIPS conference (Neural Information Processing Systems) is one of the most prestigious yearly events in the machine learning community. At each NIPS conference, a large number of research papers are published. Over 50,000 PDF files were automatically downloaded and processed to obtain a dataset on various machine learning techniques. These NIPS papers are stored in datasets/papers.csv. The CSV file contains information on the different NIPS papers that were published from 1987 until 2017 (30 years!). These papers discuss a wide variety of topics in machine learning, from neural networks to optimization methods and many more.
Titanic-Dataset-Solve-Kaggle-Titanic-Dataset
I solved the Titanic Dataset. The accuracy of the model was 85%.
Mrinmoyst1's Repositories
Mrinmoyst1/The-Trending-Topics-in-Machine-Learning
The NIPS conference (Neural Information Processing Systems) is one of the most prestigious yearly events in the machine learning community. At each NIPS conference, a large number of research papers are published. Over 50,000 PDF files were automatically downloaded and processed to obtain a dataset on various machine learning techniques. These NIPS papers are stored in datasets/papers.csv. The CSV file contains information on the different NIPS papers that were published from 1987 until 2017 (30 years!). These papers discuss a wide variety of topics in machine learning, from neural networks to optimization methods and many more.
Mrinmoyst1/Google-Maps-Restaurant-Scrapper
With this program, you would be able to scrap Retaurants data from Google Maps using Google Geo Location API. Unfortunately, the API provided reached at it's capacity. So, it didn't worked out with that. I couldn't test the program. That's why I am submitting as far as I could do.
Mrinmoyst1/Kaggle-Data-Cleaning-Exercise
Mrinmoyst1/Titanic-Dataset-Solve-Kaggle-Titanic-Dataset
I solved the Titanic Dataset. The accuracy of the model was 85%.