Data Science

Data Science

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!

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.

clock time series forecasting

3 Steps to Time Series Forecasting: LSTM with TensorFlow Keras
 A Practical Example in Python with useful Tips

We present a deep learning time series analysis example with Python. You’ll see:
– How to preprocess/transform the dataset for time series forecasting.
– How to handle large time series datasets when we have limited computer memory.
– How to fit Long Short-Term Memory (LSTM) with TensorFlow Keras neural networks model.

covid-19 death rate breaking life

What is the Coronavirus Death Rate with Hyperparameter Tuning
 Examine the death rate and time to death/recovery distribution with Python

We examine the death rate and time to death/recovery distribution of coronavirus with Python.
You’ll see the step-by-step procedures of how to find the parameters of a model that is best fitting the COVID-19 data.
If you want:
– more insights about coronavirus
– or to see an example of hyperparameter tuning/optimization in Python
take a look!

just into data python set up

How to Install/Setup Python and Prep for Data Science NOW
 Step-by-Step process to be ready for Data Science, Machine Learning, Deep Learning

We’ll walk you through the step-by-step process to set up the Python environment.
You’ll learn:
– How to install Python with Anaconda distribution.
– How to use Python through tools such as Jupyter Notebook.
– What are the Python packages that help with the end-to-end process (from analyzing data to deploying models).

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Learn Python for Data Analysis

with a practical online course

lectures + projects

based on real-world datasets

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