Exploring data analysis using Python with Jupyter notebooks, Matplotlib, Pandas and NumPy arrays.
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Updated
Jan 3, 2019 - Jupyter Notebook
Exploring data analysis using Python with Jupyter notebooks, Matplotlib, Pandas and NumPy arrays.
Variety of neural network architectures implemented for different datasets and scenarios, along with regularization techniques and hyperparameter tuning strategies.
Repository with natural language processing implementations in Jupyter Notebooks
Explore the IMDb dataset with Jupyter notebook, Pandas and Plotly
Some of my projects and notebooks related to Machine Learning😀 in one place and not scattered all over GitHub. Check out the README.md in the respective folders first.
🗨️ This repository contains a collection of notebooks and resources for various NLP tasks using different architectures and frameworks.
This repository includes assignment and project files for the IBM Data science specialization course. For most of the part, IBM Watson was used. Not all the notebooks may be here.
This is a binary sentiment classifier for the IMDB movie dataset using traditional machine learning and deep learning algorithms. The code is written in Python and executed on Jupyter Notebook.
Deploying a Sentiment Analysis Model on Amazon Sagemaker which consists of deploying a Sentiment Analysis model using Recurrent Neural Networks in the Amazon AWS SageMaker tool. The notebook and Python files provided here result in a simple web application which interacts with a deployed recurrent neural network performing sentiment analysis on …
This repository contains a data science mini project focused on exploring and analyzing an IMDB dataset. The project utilizes Python and popular data science libraries. Through a series of Jupyter Notebooks, the project demonstrates various data preprocessing techniques, EDA, and the application of ML algorithms.
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