Experience at Oasis Infobyte as Data Science Intern

Hello everyone,

My name is Arpita Sahoo, and I recently completed a virtual internship program at Oasis Infobyte. I am writing this blog post to share my experience and express my gratitude to the Oasis Infobyte Community team for providing me with this opportunity to develop my abilities and contribute to such amazing projects.
We were assigned 5 tasks, out of which we needed to complete at least 3 tasks in order to get the completion certificate.
The tasks which I completed are as follows:

Task 1: IRIS FLOWER CLASSIFICATION
Iris flower has three species; setosa, versicolor, and virginica, which differs according to their measurements. Now assume that you have the measurements of the iris flowers according to their species, and here your task is to train a machine learning model that can learn from the
measurements of the iris species and classify them.
GitHub: https://github.com/arpita1412/OASIS-DataScience-Arpita/tree/master/Task1(Iris%20Flower%20Classification)
Video Link: https://www.linkedin.com/posts/arpita-sahoo-9a0325274_connections-intern-github-activity-7065356177974386688-efd-?utm_source=share&utm_medium=member_desktoputm_source=share&utm_medium=member_desktop
IDE: Jupiter Notebook
Language: Python

Task 2: UNEMPLOYMENT ANALYSIS WITH PYTHON
Unemployment is measured by the unemployment rate which is the number of people who are unemployed as a percentage of the total labor force. We have seen a sharp increase in the unemployment rate during Covid-19, so analyzing the unemployment rate can be a good data science project.
GitHub: https://github.com/arpita1412/OASIS-DataScience-Arpita/tree/master/task%202(Unemployment%20Analysis)
Video Link: https://www.linkedin.com/posts/arpita-sahoo-9a0325274_connections-intern-github-activity-7065356947796946945-ABqC?utm_source=share&utm_medium=member_desktop
IDE: Jupiter Notebook
Language: Python

Task 3: CAR PRICE PREDICTION WITH MACHINE LEARNING
The price of a car depends on a lot of factors like the goodwill of the brand of the car, features of the car, horsepower and the mileage it gives, and many more. Car price prediction is one of the major research areas in machine learning.
GitHub: https://github.com/arpita1412/OASIS-DataScience-Arpita/tree/master/Task%203(Car%20Price%20Prediction)
Video link: https://www.linkedin.com/posts/arpita-sahoo-9a0325274_connections-intern-github-activity-7065357625365815298--mjc?utm_source=share&utm_medium=member_desktoputm_source=share&utm_medium=member_desktop
IDE: Jupiter Notebook
Language: Python

Task 4: EMAIL SPAM DETECTION WITH MACHINE LEARNING
We’ve all been the recipient of spam emails before. Spam mail, or junk mail, is a type of email
that is sent to a massive number of users at one time, frequently containing cryptic
messages, scams, or most dangerously, phishing content.
In this Project, I used Python to build an email spam detector. Then, use machine learning to train the spam detector to recognize and classify emails into spam and non-spam.
IDE: Jupiter Notebook
Language: Python

Task 5: SALES PREDICTION USING PYTHON ML Project
Sales prediction means predicting how much of a product people will buy based on factors such as the amount you spend to advertise your product, the segment of people you advertise for, or the platform you are advertising on about your product.
Typically, a product and service-based business always need their Data Scientist to predict their future sales with every step they take to manipulate the cost of advertising their product
GitHub: https://www.linkedin.com/posts/arpita-sahoo-9a0325274_connections-intern-github-activity-7065357932669870080-2Tw9?utm_source=share&utm_medium=member_desktop
Video Link: https://lnkd.in/dNPrJypQ
IDE: Jupiter Notebook
Language: Python

Thank You :)