sakshamv30 / getsetfoss_ml

This repository is dedicated to the introduction to the python libraries used for machine learning and scientific computing.

Hey 👋, I'm Saksham!

Hi, I'm Saksham Varshney, a machine learining and data science enthusiast🚀, I have worked as a Summer Intern 🙍🏽‍♂️ @ ISSA,DRDO and was the Campus Ambassador for bitgrit!

Beside's developing stuff, I enjoy listening to Coldplay 🎧 .

Talking about Personal Stuffs/Achievements:

• 🛒 Working as a SDE Intern at Flipkart.
• 🙌 Worked as a Summer Intern at ISSA, DRDO
• 🌱 Campus Ambassador for bitgrit at IIIT Lucknow.
• ⚡️ Coordinator '20 | Convener '21 Equinox
• 🎪 Lead Organizer Eduthon
• 💬 Ask me about anything, I am happy to help
• 📫 How to reach me: [email protected]

 

Languages and Tools:

📌 Liked this introduction, You can also made similar for yourself. Star and Fork this README Here are some ideas to get you started:

• 🔭 I’m have worked on GIS Based Webapp using Openlayers6, Javascript, Jquery etc.
• 🌱 I’m currently learning how to write models for Kaggle contests.
• 👯 Collaborate on end-to-end projects on data-modeling and data-visualization
• 🤔 I’m looking for summer internship in the summer of 2021.
• ⚡ Fun fact: I can bake cookies, cakes and pizza.

getsetfoss_ml's Issues

Test your pandas understanding

Select the user_id, the country and the topic columns for the users who are from country_2! Print the first five rows only.
Add the code snippet for the same.

assign the csv file to a new variable and also implement further functions

assign the csv file to a new variable and also implement further functions
1)assign a variable name article_read to csv read file.
2)use head(),tail() and sample() functions

Transpose of an array

Take transpose of the numbers_= [[687,68,34],[89,77,82],[556,99,92]] using numpy library

Peform mathematical operations

Perform the following operations on x=np.array([[1,2],[3,4]], dtype=np.float64) and y= np.array([[5,6],[7,8]], dtype=np.float64):-

1.Subtraction
2. Multiplication
3. Division
4. Inner product of vectors

using numpy library

Create an identity matrix

You need to create an 4x4 identity matrix using numpy library.

Find all the numbers greater than 89

Find all the numbers greater than 89 and print them in the array named "numbers_" using boolean array indexing.

Some basic Array things

Find the dimension, size and datatype of the array named "numbers_"

Import the dataset into Jupyter Notebook

The first step to import the dataset is to first import the getsetfoss_pandas.ipynb file in your local system.
For that you need to download the Jupyter Software from the internet itself.
The Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and explanatory text.

Add the names parameter to your function

Go on line 13 and add code snippet for showing the names parameter to the column.
The code should look like the output given.

Kaggle- Titanic ML Competition.

This is the legendary Titanic ML competition – the best, first challenge for you to dive into ML competitions and familiarize yourself with how the Kaggle platform works.
The competition is simple: use machine learning to create a model that predicts which passengers survived the Titanic shipwreck.
Send the screenshot of scoreboard after completion.
This issue will be relatively pointed according to the accuracy of the model.