Data Science and Machine Learning

Data Science and Machine Learning Tutorials
Such as NLP,ML,DL,AI and more

Clustering Countries into Continents using Unsupervised Machine Learning

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Unsupervised Machine learning has several applications among them include its usage in identifying patterns and for clustering similar data into clusters or groups. In this tutorial we will see how to use unsupervised ML to perform a simple task of identifying the right continents a country belongs to given the longitude and the latitude. Unsupervised …

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Simple NLP app with Spacy-Streamlit

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In this tutorial we will build a simple natural language processing(NLP) app with an awesome package called Spacy-Streamlit. Spacy-Streamlit is a python package that is useful for visualizing spaCy models and building interactive spaCy-powered apps with Streamlit. It has several functions and utils for visualizing spacy’s essential NLP features such as Tokenization using visualize_tokens() NER(Named …

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Machine Learning with PyCaret in Python

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In this fourth industrial age – the Age of AI, the knowledge and applications of machine learning is essential for every business and industry. It has a lot of potential and benefit when incorporated into your business . But not everyone has the time and the energy to learn the intricacies of Data Science and …

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Generating Machine Learning Pipelines using Tpot and Genetic Programming in Python

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Automated Machine learning is a fascinating field of machine learning and Data Science in which we automate some of the stages of ML life cycle such as feature engineering, model building,etc. It mostly works best after the data has been cleaned and pre-processed properly. There are several libraries and tools that can be used in …

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Data Analysis of Covid19 using Julia

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In this tutorial we will be doing a simple data analysis of the coronavirus outbreak or pandemic using the Julia Programming language. We will start with fetching the dataset and then do a simple data preparation before continuing with our data analysis. We will be fetching our dataset directly from github( John Hopkins Repo) . …

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Data Cleaning – A Practical Example with Coronavirus Dataset using Pandas and Schedule For Automatic Updates

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In a previous tutorial we saw how to do an analysis of the coronavirus (covid19) outbreak using the dataset fetched from John Hopkins on Github.  In this section we will see how to automatically fetch the new updated data daily ,prepare and clean the dataset for further analysis. Since this is an ongoing study and …

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Data Analysis of Coronavirus Outbreak with Python and Geopandas

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  The Coronavirus (COVID-19) outbreak is an ongoing outbreak which started in 2019 hence the number 19 in the COVID-19. It is caused by the Severe Acute Respiratory Syndrome(SARS) -CoV-2 virus. In this tutorial we will see how to use python to do some basic exploratory data analysis of the coronavirus outbreak. We will be …

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How to Deploy A Face Detection Streamlit App on Heroku

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In the previous tutorial,we saw how to build a simple face detection and image manipulation app with streamlit and opencv in python.   In this tutorial we will see how to deploy our app on heroku.  Deploying apps on heroku is quite simple, but you can face some issues when trying to deploy a computer …

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Building A Face Detection App with Streamlit and OpenCV

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In this tutorial we will be building a simple face detection app with streamlit  and OpenCV. We will be using streamlit to help us with our UI. This is going to be a simple Computer Vision App using OpenCV in python. This is how our app will look like after we are done building it. …

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Simple Machine Learning App with Streamlit using Car Evaluation Dataset

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In this tutorial we will be building a simple ML app with the awesome ML framework -Streamlit. We will be using the car evaluation data set from here. Let us see the basic workflow we will be using for this simple project. Building the ML Model Interpreting the Model Building the ML App with Streamlit …

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