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-...
kaggle设置Python默认环境变量 kaggle data 前些天报名参加了 Kaggle 的 Data Cleaning 5天挑战,5天的任务如下: Day 1: Handling missing values Day 2: Data scaling and normalization Day 3: Cleaning and parsing dates Day 4: Fixing encoding errors (no more messed up text fields!) Day 5: Fixing inc...
Kagglers come from all walks of life: students, seasoned professionals, and distinguished researchers. They use Kaggle to learn data science & ML, stay up-to-date on the latest techniques, and collaborate. A global community Over 23 million users from over 190 countries are here. ...
Gain the skills you need to do independent data science projects. newsstand Courses We pare down complex topics to their key practical components, so you gain usable skills in a few hours (instead of weeks or months). The courses are provided at no cost to you, and you can now earn cert...
How to Write Efficient Dockerfiles for Your Python Applications Get the FREE ebook 'The Great Big Natural Language Processing Primer' and 'The Complete Collection of Data Science Cheat Sheets' along with the leading newsletter on Data Science, Machine Learning, AI & Analytics straight to your inbo...
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU. pythondata-sciencemachine-learningdata-miningtutorialrbig-datagpucudakagglegbdtgb...
Python has a rich ecosystem of ever-growing data science libraries. It is almost impossible to cover everything in one article. The list of top libraries here is focused on only five main areas: (i) Staples of Data Science, (ii) Machine Learning, (iii) AutoML, (iv) Deep Learning, and...
Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. ...
In this tutorial, we'll discuss how to use Seaborn, a popular Python data visualization library, to create and customize line plots in Python. Introducing the Dataset To have something to practice seaborn line plots on, we'll first download a Kaggle dataset called Daily Exchange Rates per Euro...
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