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 var
djangonosqldata-engineeringdata-scrapingdatabase-systemdata-science-projects UpdatedJan 2, 2025 Python Regular practice on Data Science, Machien Learning, Deep Learning, Solving ML Project problem, Analytical Issue. Regular boost up my knowledge. The goal is to help learner with learning resource on...
RAPIDS relies on CUDA primitives for low-level compute optimization but exposes that GPU parallelism and high-memory bandwidth through user-friendly Python interfaces. RAPIDS supports end-to-end data science workflows, from data loading and preprocessing to machine learning, graph analytics, and visualiz...
AnshuTrivedi/Data-Scientist-In-Python Star88 This repository contains notes and projects of Data scientist track from dataquest course work. gitcommandlinedatamachine-learningstatisticssqlnumpymachine-learning-algorithmsprobabilitypandaskaggledatasciencestatistical-analysismachinelearningdeeplearningdataanalysisdatastruct...
Kaggle also offers micro-courses on topics like machine learning, Python, deep learning, and more. These take about 3-7 hours to complete. Users can also participate in competitions to solve real-world data science problems. These give users the opportunity to put their skills to the test and...
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!)...
Explore and run machine learning code with Kaggle Notebooks | Using data from No attached data sources
Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals.
Building Data Science Projects Using AI: A Vibe Coding Guide 10 Awesome OCR Models for 2025 Integrating DuckDB & Python: An Analytics Guide 7 Python Errors That Are Actually Features How to Learn Math for Data Science: A Roadmap for Beginners ...
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...