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Thank you to Ula Yousef on linkedin who designed the entire workbook herself and prepared this post, basically everything but the follow-along video. Thank you so much, the beautiful plotting and wonderful clustering for a beginner Python project. In this python guided project, you will learn how to build your first k-means clustering project step by step using these libraries: 1_ Pandas : which has multiple functions to perform analysis tasks. 2_ Numpy : which is use

In this free-to-use follow-along Python Sklearn guided project in Python. In this beginner simple ML project, we will use ensemble methods to predict the price of smartwatches based on their characteristics. Will will focus this project on ensemble methods in a head-to-head competition. We will use Gradient Boosting Regressor , Random Forest Regressor , Bagging Regressor , and Voting Regressor to find out Sklearn's best ensemble method. In a normal project, it is always a

Download the folder for the files of the images of dessert used in the deep learning guided project. Zipped Folder with Images (202MB) Full Data Set of Food Images at Kaggle In this Simple Computer Vision guided project in TensorFlow using Python we will build a deep learning model to classify whether a dessert is an Apple Pie, French Toast, Donuts, or Cheesecake. In the near future, a company is building a machine to automate serving food to customers. The problem is that

In this simple TensorFlow multiclass prediction problem in Python we will be an NLP model and attempt to classify poems as Affection,...

In this simple TensorFlow Computer Vision Guided Project in Python we a convolution neural network or deep learning model to predict a binary classification problem and predict with an X-ray image containing a chest X-ray image with or without pneumonia. Medical Image classification is a common and important type of computer vision problem In future projects we will explore the many various types of image preprocessing available on our images to enhance our predictions. In t

In this Deep Learning TensorFlow Guided Project, we will use the LSTM recurrent layer along with an embedding layer and dense fully connected layer in Python to predict if the news Headlines are sarcastic or not. Follow along with me in this beginner simple TensorFlow deep learning project in Python. Learn to preprocess your data for NLP with TensorFlow. We will learn how to turn text into sequences and then how to pad these sequences so they are all the same size. After w

In this Python guided project, you can follow along and build your first Simple Random Forest machine-learning model. In this Python project, we will use RandomForestClassifier from Sklearn. In is a good idea when doing an ML workflow to have a simple base model that your more robust model will try and beat. In this situation, Logistic Regression acts like our base model and Random Forest acts like our robust complex model. Special Thanks to John David who designed the e

Use Seaborn to understand how fur color affects height of dogs in this data analysis project DataSimple.education Certifications Data...

Follow along with me and code your own Python Tensorfow Project. In this beginner deep learning classification project with Tensorflow's Sequential model. When we start designing the architecture for a deep learning model it is a good idea to set up a base model so we can evaluate our progress. Sklearn's RandomForestClassifier or GradientBoostingClassifier with the default setting work well as base models. Random Forest just gives good predictions in a few lines of cod

Join us on this Python Machine Learning Guided project. In this Python Regression project, we will be predicting the MPG of classic cars. This is a slight variation on a common predictive workflow. Use ensemble methods like RandomForestRegressor , AdaBoostRegressor , and GradientBoostingRegressor in the supervised machine learning project. This is a great beginner Python project to practice machine learning with ensemble methods.

In the Python Project, we will use Pandas and Seaborn to perform our exploratory data analysis in en effort to understand how our features impact our target. A big aspect of this is paying close attention to the distributions of our features use in our supervised machine learning project.

Follow along with this Python ML-guided project. In this beginner Python project, we build a classification model in Sklearn to predict if or not a person has early-stage diabetes in this medical prediction with machine learning.

On this beginner-guided instructional project in Python we will explore with our Python data analysis skills what happened to the Islanders when the were given various drugs. Studying the effects of drugs using Pandas and Seaborn in Python on the isolated islander as they were given different medicine. A free instructional education tool for beginners. Template Workbook Solutions Workbook DataSimple.education  Certifications Data Analysis, Pandas, Seaborn, Plotly and Mor

In our second part of the LSTM stock prediction using Tensorflow. Now that we have our deep learning model with LSTM recurrent layer...

In this Python deep learning project, we set up our LSTM neural network with Tensorflow in an attempt to get rich and predict the stock...

This intro project is great for those new to Sklearn . Learn how to set up an ML workflow. From exploratory data analysis to predictions. Use pandas and seaborn in Python to perform your data analysis. Then use Sklearn to do the train test split and make your predictions. Here we also look at the R-squared score to evaluate our model.

Use the swarmplot in Seaborn in your Python Data Analysis Use pandas and seaborn in Python to analyze the purchasing patterns and relationships of supermarket customers' data in this instructional python guided project as we collect observations and insights that we combine in creative ways to generate profitable marketing strategies based on the data. When completing a data analysis it is less intimidating to just focus on the current task and search for individual insight

Level 1 data analysis with pandas and seaborn in Python follow along with me in this guided project with template and solution workbook.