Published in Heartbeat·Pinned7 Steps to Become a Machine Learning EngineerA comprehensive guide with courses and books — Building successful data science projects is not straightforward and sometimes it can turn into a nightmare. There are many challenges from data ingestion to production, including feature engineering, modeling, testing, deployment, and infrastructure management. Until a few years ago, data scientists were trying to deal with all these challenges on…Machine Learning9 min readMachine Learning9 min read
Published in Geek Culture·Pinned6 Steps to Become a Machine Learning ExpertEverything you need to know to become a machine learning expert. — Machine learning finds patterns in data to make a suitable decision. Deep learning is a branch of machine learning that uses neural networks with many layers. Today, problems such as computer vision, natural language processing, and driverless cars can be solved with deep learning. To be able to do deep…Machine Learning9 min readMachine Learning9 min read
Published in Geek Culture·Pinned8 Best Seaborn VisualizationsHands-on statistical plots with Seaborn using the penguin dataset. — To perform a project in data science, you first need to understand data. Data visualization is one of the best ways to understand data. Matplotlib and Seaborn in Python are generally used for data visualization. In this blog post, I’m going to cover the following topics: What is Seaborn? Scatter…Seaborn Tutorial7 min readSeaborn Tutorial7 min read
Published in Geek Culture·Nov 18Classification in Machine Learning: A Guide for BeginnersA step-by-step guide on how to solve a classification problem with logistic regression using a real-world dataset. — Data is the new oil of today. Many companies and governments are now trying to extract information from big data using machine learning techniques. Machine learning is growing very fast, and new tools and libraries are being developed in this field almost every day. These tools help you easily implement…Artificial Intelligence10 min readArtificial Intelligence10 min read
Published in Heartbeat·Oct 25Hands-on Data Analysis With PySparkPerforming data analysis with PySpark using Shakespeare’s sonnets — The size of data has increased exponentially over the last few decades, leading to the birth of the “Big Data” era. It’s difficult to give an exact definition of big data. However, as a good rule of thumb, if the dataset can’t fit in memory or disk on a single…Pyspark10 min readPyspark10 min read
Published in Towards AI·Oct 24Logistic Regression with BigQuery ML in 6 StepsA step-by-step guide to building a logistic regression model with SQL using BigQuery ML. — Introduction A logistic regression model is a type of statistical model that is used to predict the probability of an outcome. Logistic regression, despite its name, is a classification model rather than a regression model. The outcome is usually binary, meaning it can only be one of two possible values, such…Data Science9 min readData Science9 min read
Published in Level Up Coding·Sep 305 Free Resources for Learning Natural Language ProcessingLearn NLP with GitHub repositories for free. — In recent years, natural language processing (NLP) has seen rapid growth with the commercial adoption of artificial intelligence (AI) solutions. NLP is a subfield of artificial intelligence concerned with the interactions between computers and human (natural) languages, in particular how to program computers to process and analyze large amounts of…Artificial Intelligence3 min readArtificial Intelligence3 min read
Published in Geek Culture·Sep 27Hands-on Regression Analysis with BigQueryA step-by-step guide on how to perform linear regression analysis with BiqQuery We live in the age of big data. It is difficult to give an exact definition of big data. However, as a good rule of thumb, if the dataset can’t fit in memory or disk on a single…Machine Learning9 min readMachine Learning9 min read
Published in Level Up Coding·Aug 29Data Manipulation with Pyspark in 10 StepsI’ll guide you step by step on how to perform data manipulation with real-world data using PySpark. — Spark is a multi-language engine for implementing data engineering, data science, and machine learning projects on single-node machines or clusters. You can use it to handle both batch and real-time data processing workloads. It also allows you to deal with massive datasets via distributed systems at high speed and via…Pyspark7 min readPyspark7 min read
Published in Heartbeat·Aug 22Three Tree-Based Machine Learning ModelsA guide on how to implement decision tree, random forest, and XGBoost using Scikit-Learn and optimize hyperparameters with Comet — Machine learning is a fantastic field that aims to automatically build models using data. It can help you make better decisions by providing more accurate predictions. You can see it like a Swiss army knife used to solve problems in biology, finance, healthcare, safety, etc.Artificial Intelligence10 min readArtificial Intelligence10 min read
