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1. TESLA-Stock-Price-Prediction-Using-Facebook-Prophet TESLA-Stock-Price-Prediction-Using-Facebook-Prophet Public

   This repository aims to build a Facebook Prophet Machine learning model that can forecast the price of Tesla 30 days in advance. The effectiveness of the model is also evaluated by looking at Tesla…

   Jupyter Notebook

2. ML_WebApp_on_IRIS_Classifier ML_WebApp_on_IRIS_Classifier Public

   This web application is built using streamlit. The app uses machine learning model to classify the iris flowers. Moreover, this web app is deployed on Heroku.

   Python 1

3. Web-scraping-using-python-and-beautifulsoup Web-scraping-using-python-and-beautifulsoup Public

   This notebook includes data scraping. For this beautifulsoup and selinium is used. It takes a website URL as an input and extracts the information listed below as an output from that webpage. For t…

   Jupyter Notebook 9 7

4. NLP-implementation-on-whastapp-chats-using-python NLP-implementation-on-whastapp-chats-using-python Public

   This notebook was built to analyze Whatsapp conversations using the steps below: Step 1: Detecting {Date} and {Time} tokens Step 2: Detecting the {Author} token Step 3: Extracting and Combining tok…

   Jupyter Notebook 6 1

5. MNIST_Digit_Classification_using_CNN_and_Gradio_based_UI MNIST_Digit_Classification_using_CNN_and_Gradio_based_UI Public

   This Python application is based on Hand Written Digits. Tensorflow and Gradio were used as the key requirements for coding. TensorFlow is a free and open-source software library for machine learni…

   Jupyter Notebook

6. NLP_TKINTER_GUI_USING_PYCHARM NLP_TKINTER_GUI_USING_PYCHARM Public

   The project is based on three different phases: 1. Text extraction, 2. Preprocessing/ Text cleaning (includes Tokenization, POS tagging, Stopwords filtering, Lemmatization, TF/IDF) , 3. Word expans…

   Python