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advanced-regression-us-house-price-prediction icon advanced-regression-us-house-price-prediction

A US-based housing company named Surprise Housing has decided to enter the Australian market. The company uses data analytics to purchase houses at a price below their actual values and flip them on at a higher price. For the same purpose, the company has collected a data set from the sale of houses in Australia. The data is provided in the CSV file below. The company is looking at prospective properties to buy to enter the market. You are required to build a regression model using regularisation in order to predict the actual value of the prospective properties and decide whether to invest in them or not. The company wants to know: Which variables are significant in predicting the price of a house, and How well those variables describe the price of a house.

capstone-project--credit-card-fraud-detection icon capstone-project--credit-card-fraud-detection

To build a machine learning model that is capable of detecting fraudulent transactions and to handle class imbalances present in any data set, along with model selection and hyperparameter tuning.

clustering-assignment-ngo-help-assignment- icon clustering-assignment-ngo-help-assignment-

HELP International is an international humanitarian NGO that is committed to fighting poverty and providing the people of backward countries with basic amenities and relief during the time of disasters and natural calamities. It runs a lot of operational projects from time to time along with advocacy drives to raise awareness as well as for funding purposes.After the recent funding programmes, they have been able to raise around $ 10 million. Now the CEO of the NGO needs to decide how to use this money strategically and effectively. The significant issues that come while making this decision are mostly related to choosing the countries that are in the direst need of aid.

data-structures-algorithms-python icon data-structures-algorithms-python

This tutorial playlist covers data structures and algorithms in python. Every tutorial has theory behind data structure or an algorithm, BIG O Complexity analysis and exercises that you can practice on.

deep-learning-keras-tf-tutorial icon deep-learning-keras-tf-tutorial

Learn deep learning with tensorflow2.0, keras and python through this comprehensive deep learning tutorial series. Learn deep learning from scratch. Deep learning series for beginners. Tensorflow tutorials, tensorflow 2.0 tutorial. deep learning tutorial python.

detect-melanoma-skin-cancer--classification-model icon detect-melanoma-skin-cancer--classification-model

To build a CNN based model which can accurately detect melanoma. Melanoma is a type of cancer that can be deadly if not detected early. It accounts for 75% of skin cancer deaths. A solution which can evaluate images and alert the dermatologists about the presence of melanoma has the potential to reduce a lot of manual effort needed in diagnosis.

gesture-recognition---cnn-model--classification-model icon gesture-recognition---cnn-model--classification-model

Imagine you are working as a data scientist at a home electronics company which manufactures state of the art smart televisions. You want to develop a cool feature in the smart-TV that can recognise five different gestures performed by the user which will help users control the TV without using a remote.

grip-exploratory-data-analysis---retail icon grip-exploratory-data-analysis---retail

Perform ‘Exploratory Data Analysis’ on dataset ‘Sample Superstore’. As a business manager, try to find out the weak areas where you can work to make more profit. What all business problems you can derive by exploring the data?

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