Project: Predicting breast cancer
Predicting the breast tumor as either malignant or benign based on given features. We will be using SVM model and GridSearchCV
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Project
Project: Predicting heart diseases
Predicting if a patient has a heart disease or not based on the given features. We will be using pipelines, cross_validation_scores and KNN model
Project: Predicting Titanic survival
Predicting who were more likely to survive on Titanic based on the given features. We will be using pipelines, cross_validation_scores, LogisticRegression an...
Project: Predicting Ad clicks
Predicting if a customer is going to click on Ad or not. We will be using pipelines, cross_validation_scores, LogisticRegression and XGBoost
Project: Predicting Amount spent
Predicting yearly amount spent by the customers of an ecommerce store. We will be using pipelines, cross_validation_scores and LinearRegression model
Project: Predicting Iowa house prices
Predicting Iowa house prices using DecisionTreeRegressor and RandomForestTreeRegressor
Project: Analyzing Stocks
Analyzing the stocks of four different companies from year 2006 to 2015
Project: Analyzing 911 calls data
Analyzing the 911 calls data using Pandas, Numpy, Matplotlib and Seaborn
Project: Analyzing San Francisco Salaries Data
Analyzing the SF employee’s salaries data using Pandas, Numpy, Matplotlib, Seaborn and Sklearn
Tutorial
Flask+Pipenv+Postgres+Docker+Nginx+uWSGI
Learn how you can make your flaskapp production ready using Pipenv, uWSGI, Nginx and Docker
Webscraping sites with infinite scroll
Learn how to scrape websites that have infinite scrolling
Webscraping using scrapy
Learn and practice webscraping using scrapy
Args and Kwargs
Learn about the usage of *args and **kwargs keywords
Numpy
Learn and practice the python’s linear algebra library
List Comprehensions
Learn about List comprehensions
Map & Filter functions
Learn about Map & Filter functions
Lambda Expressions
Learn the power of Lambda in Python
Reading
Derivatives
Learn the concept of derivatives
Linear Regression and Gradient Descent
Understanding linear regression and gradient descent
Understanding expected values
Let us visualize the concept of expected values in python
Effect of an outlier on Regression Line
Visualize how an outlier effects the regression line
Reaffirming the Central Limit Theorem
Visualize the concept of Central Limit Theorem
Bias Variance Tradeoff
Understand the concept of underfitting vs overfitting your model
Supervised Machine Learning
Read about the Supervised machine learning workflow