Your software engineering skill Your data pipeline design skill The data used for this project will be The Movies Dataset (pulled from https://www.kaggle.com/rounakbanik/the-movies-dataset). Please use the copy of the data set provided at https://s3-us-west-2.amazonaws.com/com.guild.us...
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. pythonawsdata-sciencemachine-learningcaffetheanobig-datasparkdeep-...
MLOps is an engineering practice dealing with the application of tools, frameworks, and best practices to increase the number of AI projects that are brought to production. While data does play an important role, a major part of the MLOps paradigm focuses on engineering principles like ...
The chapters cover technical concepts as well as tips for resume, portfolio, and brand building to catch the employer's attention, while also focusing on case studies and real-world interview questions.Introduction In the world of data engineering, SQL is the unsung hero that empowers us to ...
The chapters cover technical concepts as well as tips for resume, portfolio, and brand building to catch the employer's attention, while also focusing on case studies and real-world interview questions.Introduction In the world of data engineering, SQL is the unsung hero that empowers us to ...
1. Kaggle Community Kaggle is a premier data science community and platform that hosts machine learning competitions, datasets, and collaborative projects. It serves as a hub for data scientists, machine learning practitioners, and AI enthusiasts to collaborate, learn, and showcase their skills. Kagg...
It helps track, organize and make data science projects reproducible. In its very basic scenario it helps version control and share large data and model files. Lambdo is a workflow engine that significantly simplifies data analysis by combining in one analysis pipeline (i) feature engineering and...
Learn how Kaggle works and how to make the most of competitions from over 30 expert Kagglers Sharpen your modeling skills with ensembling, feature engineering, adversarial validation and AutoML A concise collection of smart data handling techniques for modeling and parameter tuning Description Milli...
Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself. ...
GitHub is where people build software. More than 150 million people use GitHub to discover, fork, and contribute to over 420 million projects.