Welcome to Just into Data, a place for data science made simpleR!

Enjoy data science articles on various topics such as Machine Learning, AI, Statistical Modeling, Python Programming.

anomaly outlier detection eggs in a tray

How to apply Unsupervised Anomaly Detection on bank transactions
 A use case of Unsupervised Learning with Python, step-by-step

In this tutorial, we’ll show how to detect outliers or anomalies on unlabeled bank transactions with Python.

You’ll learn:
– How to identify rare events in an unlabeled dataset using machine learning algorithms: isolation forest (clustering).
– How to visualize the anomaly detection results.
– How to fight crime with anti-money laundering (AML) or fraud analytics in banks
Use case and tip from people with industry experience

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exploratory data analysis flag explore seaborn

How to use Python Seaborn for Exploratory Data Analysis
 Explore an example dataset by Histogram, Heatmap, Scatter plot, Barplot, etc

This is a tutorial of using the seaborn library in Python for Exploratory Data Analysis (EDA).

In this guide, you’ll discover (with examples):

– How to use the seaborn Python package to produce useful and beautiful visualizations, including histograms, bar plots, scatter plots, boxplots, and heatmaps.
– How to explore univariate, multivariate numerical and categorical variables with different plots.
– How to discover the relationships among multiple variables.
– Lots more.

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compass into data science how to learn

How to Learn Data Science Online: ALL You Need to Know
 Python, SQL, Machine Learning, Portfolios plus other Online resources

This is a complete roadmap/curriculum of getting into data science with online resources.

Whether you want to learn for free or more efficiently, this guide will walk you through the step-by-step process that’ll put you on the right path. We’ll talk about skills, online courses, books, and other resources.

You’ll discover:

– the basics of data science (Python, SQL, Machine Learning/Statistics) and How to learn them.
– Why and How to build a data science portfolio.
– other tips/resources to dive into the world of data science.
Start your data science journey today!

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sentiment analysis leaves

How to do Sentiment Analysis with Deep Learning (LSTM Keras)
 Automatically Classify Reviews as Positive or Negative in Python

In this tutorial, we build a deep learning neural network model to classify the sentiment of Yelp reviews.

Following the step-by-step procedures in Python, you’ll see a real life example and learn:

– How to prepare review text data for sentiment analysis, including NLP techniques.
– How to tune the hyperparameters for the machine learning models.
– How to predict sentiment by building an LSTM model in Tensorflow Keras.
– How to evaluate model performance.
– How sample sizes impact the results compared to a pre-trained tool.
And more.

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