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https://github.com/akash1070/project-best-streaming-service-analysis

To Determine best streaming service we use data from the dataset to determine following attributes using using Python:
https://github.com/akash1070/project-best-streaming-service-analysis

data-analytics data-science python

Last synced: about 1 month ago
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To Determine best streaming service we use data from the dataset to determine following attributes using using Python:

Host: GitHub
URL: https://github.com/akash1070/project-best-streaming-service-analysis
Owner: Akash1070
Created: 2022-08-27T07:53:44.000Z (over 2 years ago)
Default Branch: main
Last Pushed: 2022-08-29T12:17:09.000Z (over 2 years ago)
Last Synced: 2024-04-05T11:45:29.193Z (9 months ago)
Topics: data-analytics, data-science, python
Language: Jupyter Notebook
Homepage:
Size: 718 KB
Stars: 0
Watchers: 2
Forks: 0
Open Issues: 0
Metadata Files:
- Readme: README.md

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README

        
# **Best Streaming Service Analysis**

There is a lot of competition between all the major streaming services like Netflix, Prime Video, Hulu, and Disney+. As a Data Scientist, it could be a very amazing task for you to find which is the best streaming service among them. In this project, I’m going to introduce you to a data science project on the best streaming service analysis with Python.

For analyzing which is the best streaming service, I will be using the ratings of shows on all the major platforms like Netflix, Prime Video, Hulu, and Disney+.

The dataset that I will use for the task of Best Streaming service analysis contains a comprehensive list of all the TV shows which are available on the 4 platforms that we are comparing in this task..

**To Determine following data from the dataset using Python:**

1. Analyzing the streaming platform

2. Analyzing the IMBD and Rotten Tomatoes ratings of all the shows

3. Analyzing the target age group of most of the TV shows.

4. What Are The Top Movies On Each Platform

5. Exploring Genres

## Authors

- [@Akash Kumar Jha](https://github.com/Akash1070)

## Installation

To install the libraries used in this project. Follow the 

below steps:

```bash

import pandas as pd

import numpy as np

import seaborn as sns

import matplotlib.pyplot as plt

import plotly.offline as pyo

# Set notebook mode to work in offline

pyo.init_notebook_mode()

import plotly.express as px 

import cufflinks as cf

cf.go_offline()

import plotly.graph_objects as go

fig = go.Figure()

from wordcloud import WordCloud

%matplotlib inline

```

    

## Running Flask Api

To run tests, run the following command

```bash

  python app.py

```

## 🚀 About Me

Data Scientist Enthusiast | Petroleum Engineer Graduate | Solving Problems Using Data 

# Hi, I'm Akash! 👋

## 🔗 Links

[![github](https://img.shields.io/badge/github-000?style=for-the-badge&logo=ko-fi&logoColor=white)](https://github.com/Akash1070)

[![linkedin](https://img.shields.io/badge/linkedin-0A66C2?style=for-the-badge&logo=linkedin&logoColor=white)](https://www.linkedin.com/in/akashkumar107/)

## Other Common Github Profile Sections

👩‍💻 I’m interested in Petroleum Engineering

🧠 I’m currently learning Data Scientist

👯‍♀️ I’m looking to collaborate on Ideas & Data

## 🛠 Skills

1. Data Scientist

2. Data Analyst

3. Business Analyst

4. Machine Learning