Merge pull request #451 from ellow0rld/master

Startups Analysis
abhisheks008 · Dec 12, 2023 · b255127 · b255127
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diff --git a/Startups Analysis/Dataset/dataset.csv b/Startups Analysis/Dataset/dataset.csv
diff --git a/Startups Analysis/Images/Industries vs cities.png b/Startups Analysis/Images/Industries vs cities.png
diff --git a/Startups Analysis/Images/countries vs industries.png b/Startups Analysis/Images/countries vs industries.png
diff --git a/Startups Analysis/Images/industries count in india.png b/Startups Analysis/Images/industries count in india.png
diff --git a/Startups Analysis/Images/missing_values.png b/Startups Analysis/Images/missing_values.png
diff --git a/Startups Analysis/Images/no_of_observation_by_industry.png b/Startups Analysis/Images/no_of_observation_by_industry.png
diff --git a/Startups Analysis/Images/no_of_observations_by_country.png b/Startups Analysis/Images/no_of_observations_by_country.png
diff --git a/Startups Analysis/Images/valuation of companies by industry.png b/Startups Analysis/Images/valuation of companies by industry.png
diff --git a/Startups Analysis/Images/year vs startups.png b/Startups Analysis/Images/year vs startups.png
diff --git a/Startups Analysis/Model/README.md b/Startups Analysis/Model/README.md
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+# Goals
+Analysis of Startups
+
+# Dataset
+https://www.kaggle.com/datasets/thedevastator/startups-valued-at-1-billion-or-more
+
+# Work Done
+- Cleaned the dataset.
+- Analyzed the data and found insights and plotted graphs accordingly etc.
+
+# Libraries needed
+- Numpy
+- Pandas
+- Matplotlib
+- missingno
+
+# Plots
+![year vs startups](https://github.com/ellow0rld/ML-Crate/assets/116413038/743987b8-e5a5-4cc2-b3d1-c47f809f6a87)
+![countries vs industries](https://github.com/ellow0rld/ML-Crate/assets/116413038/7a630837-4e27-4217-810a-0f3bfa7037ae)
+![no_of_observations_by_country](https://github.com/ellow0rld/ML-Crate/assets/116413038/f130d5ad-57c9-436d-9a95-ad5c17e0123b)
+![no_of_observation_by_industry](https://github.com/ellow0rld/ML-Crate/assets/116413038/0362c3aa-6752-4e0e-8250-b74e82aaf576)
+![industries count in india](https://github.com/ellow0rld/ML-Crate/assets/116413038/4d8da8ae-79b5-404c-b39a-1d1bf3a7f645)
+![Industries vs cities](https://github.com/ellow0rld/ML-Crate/assets/116413038/0086d8d5-1f72-4f08-b7cc-9199e68edd14)
+![valuation of companies by industry](https://github.com/ellow0rld/ML-Crate/assets/116413038/28423e9c-1c74-4732-96e9-71ed86c920c1)
+
+# Conclusion
+- Fintech and Software are leading industries all over the world.
+- E-commerce and direct-to-customers is the leading industry in India.
+- BYJU's has the highest valuation.
+- Most startups in India are started in Bengaluru.
+
+# Contributed by
+Madhu Shree Aravindan
+
+Github - https://github.com/ellow0rld
diff --git a/Startups Analysis/Model/Startups_Analysis.ipynb b/Startups Analysis/Model/Startups_Analysis.ipynb
diff --git a/Startups Analysis/requirements.txt b/Startups Analysis/requirements.txt
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+numpy==1.21.4
+pandas==1.3.5
+matplotlib==3.5.1
+missingno