How to predict NFL Winners with Python20201203141148
How to predict NFL Winners with Python
December 3, 2020data cleaning, feature engineering, machine learning, model training, NFL predictions, numpy, pandas, python, scikit-learn, Xgboost
Learn how to use Python and machine learning to predict the winners of NFL games....
How to Build a Generative Adversarial Network (GAN) to Identify Deepfakes20200507095703
How to Build a Generative Adversarial Network (GAN) to Identify Deepfakes
May 7, 2020Deepfake, Discriminator Neural Network, GAN, Generative Adversarial Network, Generator Neural Network, machine learning, tensorflow
Learn how to build a Generative Adversarial Network to identify deepfakes....
Fantasy March Madness: How to Predict Winners20200319145246
Fantasy March Madness: How to Predict Winners
March 19, 2020big data, data modeling, feature engineering, machine learning, March madness
Follow along with our machine learning model to see who could have won the NCAA March Madness 2020 tournament....
Top 10 Python Packages with Examples20191224104046
Top 10 Python Packages with Examples
December 24, 2019best python packages, machine learning, python dev, python packages, webapp development
Here are the top 10 Python packages critical to improving your programming experience, and which will immediately let you become a more efficient and ...
How to Clean Machine Learning Datasets Using Pandas20190829100032
How to Clean Machine Learning Datasets Using Pandas
August 29, 2019activepython, activestate platform, data analysis, machine learning, python programming
The first step in any machine learning project is typically to clean your data. In this post, we show you how to cleanse data using Python and Pandas....
TensorFlow Optimization Showdown: ActiveState vs. Anaconda20190821105140
TensorFlow Optimization Showdown: ActiveState vs. Anaconda
August 21, 2019activepython, data science, machine learning, tensorflow
Using ActivePython ensures you get the most out of TensorFlow and your hardware. They do all the optimization for you, and it is simple to install and...
Comparing Decision Tree Algorithms: Random Forest vs. XGBoost20190814131732
Comparing Decision Tree Algorithms: Random Forest vs. XGBoost
August 14, 2019activepython, algorithms, machine learning, python
Random Forest and XGBoost are two popular decision tree algorithms for machine learning. In this post I’ll take a look at how they each work, compare ...
Exploratory Data Analysis using Python20190801100448
Exploratory Data Analysis using Python
August 1, 2019activepython, activestate platform, data analysis, machine learning, python programming
Exploratory Data Analysis (EDA) is a type of storytelling for statisticians. In this post, we show you how to conduct EDA using Python and Pandas to s...
Customer Support Chatbots: Easier & More Effective Than You Think20190516101054
Customer Support Chatbots: Easier & More Effective Than You Think
May 16, 2019chatbots, machine learning, platform, python
Create your own free chatbot environment with just a few commands and learn more about the benefits of customer service chatbots in this post.Opinions...
Add Machine Learning to Legacy Applications with Python20190418100534
Add Machine Learning to Legacy Applications with Python
April 18, 2019ai, machine learning, oem, python
These days, it seems like Machine Learning (ML) is everywhere. Well, everywhere except in legacy applications. But you can hardly blame the applicatio...