Flask+Pipenv+Postgres+Docker+Nginx+uWSGI
Learn how you can make your flaskapp production ready using Pipenv, uWSGI, Nginx and Docker
Learn how you can make your flaskapp production ready using Pipenv, uWSGI, Nginx and Docker
Predicting the breast tumor as either malignant or benign based on given features. We will be using SVM model and GridSearchCV
Learn how to scrape websites that have infinite scrolling
Learn and practice webscraping using scrapy
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
Predicting who were more likely to survive on Titanic based on the given features. We will be using pipelines, cross_validation_scores, LogisticRegression an...
Predicting if a customer is going to click on Ad or not. We will be using pipelines, cross_validation_scores, LogisticRegression and XGBoost
Predicting yearly amount spent by the customers of an ecommerce store. We will be using pipelines, cross_validation_scores and LinearRegression model
Learn about the usage of *args and **kwargs keywords
Learn and practice the python’s linear algebra library
Understanding linear regression and gradient descent
Let us visualize the concept of expected values in python
Visualize how an outlier effects the regression line
Visualize the concept of Central Limit Theorem
Predicting Iowa house prices using DecisionTreeRegressor and RandomForestTreeRegressor
Analyzing the stocks of four different companies from year 2006 to 2015
Analyzing the 911 calls data using Pandas, Numpy, Matplotlib and Seaborn
Analyzing the SF employee’s salaries data using Pandas, Numpy, Matplotlib, Seaborn and Sklearn
Learn about List comprehensions
Learn about Map & Filter functions
Learn the power of Lambda in Python
Predicting the breast tumor as either malignant or benign based on given features. We will be using SVM model and GridSearchCV
Learn how to scrape websites that have infinite scrolling
Learn and practice webscraping using scrapy
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
Predicting who were more likely to survive on Titanic based on the given features. We will be using pipelines, cross_validation_scores, LogisticRegression an...
Predicting if a customer is going to click on Ad or not. We will be using pipelines, cross_validation_scores, LogisticRegression and XGBoost
Predicting yearly amount spent by the customers of an ecommerce store. We will be using pipelines, cross_validation_scores and LinearRegression model
Learn the concept of derivatives
Learn and practice the python’s linear algebra library
Understanding linear regression and gradient descent
Let us visualize the concept of expected values in python
Visualize how an outlier effects the regression line
Visualize the concept of Central Limit Theorem
Predicting Iowa house prices using DecisionTreeRegressor and RandomForestTreeRegressor
Understand the concept of underfitting vs overfitting your model
Analyzing the stocks of four different companies from year 2006 to 2015
Analyzing the 911 calls data using Pandas, Numpy, Matplotlib and Seaborn
Analyzing the SF employee’s salaries data using Pandas, Numpy, Matplotlib, Seaborn and Sklearn
Read about the Supervised machine learning workflow
Predicting the breast tumor as either malignant or benign based on given features. We will be using SVM model and GridSearchCV
Learn how to scrape websites that have infinite scrolling
Learn and practice webscraping using scrapy
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
Predicting who were more likely to survive on Titanic based on the given features. We will be using pipelines, cross_validation_scores, LogisticRegression an...
Predicting if a customer is going to click on Ad or not. We will be using pipelines, cross_validation_scores, LogisticRegression and XGBoost
Predicting yearly amount spent by the customers of an ecommerce store. We will be using pipelines, cross_validation_scores and LinearRegression model
Learn the concept of derivatives
Learn and practice the python’s linear algebra library
Understanding linear regression and gradient descent
Let us visualize the concept of expected values in python
Visualize how an outlier effects the regression line
Visualize the concept of Central Limit Theorem
Predicting Iowa house prices using DecisionTreeRegressor and RandomForestTreeRegressor
Understand the concept of underfitting vs overfitting your model
Analyzing the 911 calls data using Pandas, Numpy, Matplotlib and Seaborn
Analyzing the SF employee’s salaries data using Pandas, Numpy, Matplotlib, Seaborn and Sklearn
Read about the Supervised machine learning workflow
Let us visualize the concept of expected values in python
Visualize how an outlier effects the regression line
Visualize the concept of Central Limit Theorem
Learn how to scrape websites that have infinite scrolling
Learn and practice webscraping using scrapy
Analyzing the stocks of four different companies from year 2006 to 2015
Analyzing the stocks of four different companies from year 2006 to 2015
Understand the concept of underfitting vs overfitting your model
Understand the concept of underfitting vs overfitting your model
Understand the concept of underfitting vs overfitting your model
Understand the concept of underfitting vs overfitting your model
Visualize the concept of Central Limit Theorem
Visualize how an outlier effects the regression line
Visualize how an outlier effects the regression line
Let us visualize the concept of expected values in python
Understanding linear regression and gradient descent
Understanding linear regression and gradient descent
Learn and practice the python’s linear algebra library
Learn about the usage of *args and **kwargs keywords
Learn about the usage of *args and **kwargs keywords
Learn the concept of derivatives
Learn how you can make your flaskapp production ready using Pipenv, uWSGI, Nginx and Docker
Learn how you can make your flaskapp production ready using Pipenv, uWSGI, Nginx and Docker
Learn how you can make your flaskapp production ready using Pipenv, uWSGI, Nginx and Docker
Learn how you can make your flaskapp production ready using Pipenv, uWSGI, Nginx and Docker
Learn how you can make your flaskapp production ready using Pipenv, uWSGI, Nginx and Docker
Learn how you can make your flaskapp production ready using Pipenv, uWSGI, Nginx and Docker