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Zipped TensorFlow Sequential Animal Prediction Model Zipped Folder of Zipped Train and Zipped test Images used in Video Expanding our convolution network in this multi-class classification guided project with the Sequential model In TensorFlow with Python. Although you can get more complex with the Sequential model , training a model of this complexity takes a long long time, as in 4 hours with a GPU and those unfortunately those aren't free. Without a GPU it took me rough

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 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

In the second part of the Python Guided Machine Learning Project, the data scientist picks up where the data analyst left off. We use the data analyst's sights to guide the data scientist preprocessing strategy for machine learning.

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

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 pandas and seaborn in Python to analyze the spaceship titanic data from the Kaggle competition as if you were prepping it for a data scientist. extract insights using pandas seaborn and created user-defined functions to keep your analyses clean and to the point coding. Understand what insights need to be collected for a data scientist to build a model. In this 2 part project, you will have the opportunity to take over the modeling and be the data scientist. You will u

Study what happened to the Sri Lanka economy with python from 1966 to 2022 and see if you can understand what lead to the high inflation and low employment that the country faced during and after the pandemic. Use matplotlib.pyplot as plt to assist us in plotting two Seaborn lineplot and scatterplots together. They create stunning effects in your Seaborn plots and add a really nice professional touch to your seaborn plots. This is the Sri Lanka economy over time and so we

Here we use Pandas and Seaborn in Python to go through the job listings for Data Analyst Job Postings. we'll have to do a lot of cleaning of the string features to be able to analyze this data set. Let's explore which type of Data Analyst gets hired, and has the biggest salaries. Business analyst, data analyst, BI analyst etc. Also explore important factors like education, year of experience, and location make on data analyst salaries in this instructional Python learning

Use pandas and seaborn in Python to analyze the world happiness index and better understand what affect a countries happiness by analyzing the data.

Data science and data analysis gives us access to the ability to make our own interpretations from the data. I wanted to see what was...

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

in the 3rd part of our stock market prediction using the LSTM layer to predict google stock. use TensorFlow and build a neural network to predict. in the project, we pick up where we left of and include economic data with our times series. we also focus on finding the right architecture for your neural network with TensorFlow in python. data science teacher brandyn YouTube Follow data science teacher brandyn facebook Template workbook Solution workbook One on one ti

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