Participate in the Hackerrank Probability challenge by following this link. The Statistics Challenge using this link
| import numpy as np |
| This is a demo for @fordatageeks |
Task 1 _ Participate in the Credit Card Dataset for Clustering Competition on Kaggle by visiting this link
Task 2 _ Using all the skills you have curated over the course of being with us, look for a very prominent problem people are facing around you, and solve this problem using your Data Science Skills. Write a report (an article) detailing how you solved the problem from data collection to the end product.
Can you identify the type of disease present on a Cassava Leaf image using Tensorflow? Perform this image classification analysis by joining this Cassava Leaf Disease Classification Competition on Kaggle using this link
Task 1 _ Join the Legendary Titanic Machine Learning Competition on Kaggle using this link. Use machine Learning to create a model that predicts which passengers survived the Titanic shipwreck using the Classification approach.
Task 2 _ Join the House Prices Machine Learning Competition on Kaggle using this link. Predict sales prices and practice feature engineering with the bigger algorithms like Gradient Boosting using the Regression approach.
We have curated a list of datasets suitable for visualization. Go through all the datasets below and select one or two you'd like to work on. You are mandated to use either Matplotlib, Seaborn or both to create interactive visuals.
Download all the Covid-19 Dataset using this link. From your knowledge on Python for Data analysis and Maths, draw inferences from the data using python, manipulate and prepare data for analysis.
Visit the World University Ranking 2021 Hackathon page on Kaggle using this link, download the universities_ranking.csv and the universities_scores.csv files, merge the two data, build and design interactive dashboards using PowerBI and Tableau.
Participate in the Hackerrank SQL challenge by following this link