Which libraries required for being a Data Scientist

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I want to become a data Scientist and I need to your support Please tell me which libraries I should learn and which is the best Roadmap for this

Gaurav kumar · Answer

Libraries required foBecoming a data scientist requires a solid foundation in programming, statistics, data manipulation, and machine learning, and there are several libraries in Python (most commonly) and R that are essential. Here's a detailed breakdown: 1. Python Libraries a. Data Manipulation Pandas – for handling structured data (DataFrames, CSVs, Excel). NumPy – for numerical operations, arrays, and linear algebra. SciPy – for advanced mathematical and statistical operations. b. Data Visualization Matplotlib – basic plotting and visualization. Seaborn – statistical data visualization (built on Matplotlib). Plotly / Bokeh – interactive plots and dashboards. c. Machine Learning / AI Scikit-learn – classical machine learning (regression, classification, clustering). TensorFlow / Keras – deep learning (neural networks). PyTorch – alternative deep learning framework, popular in research. XGBoost / LightGBM / CatBoost – gradient boosting algorithms for structured data. d. Natural Language Processing (NLP) NLTK – text processing and NLP. spaCy – fast NLP library for large-scale text. Transformers (Hugging Face) – for modern NLP models like BERT, GPT, etc. e. Data Handling & Web Scraping BeautifulSoup / Scrapy – web scraping. Requests – HTTP requests for APIs and web data f. Others Statsmodels – statistical modeling and hypothesis testing. OpenCV / PIL – image processing if working with computer vision. --- 2. R Libraries If using R, popular libraries include: dplyr – data manipulation. tidyr – data tidying. ggplot2 – visualization. caret / mlr3 – machine learning. randomForest / xgboost – advanced ML algorithms. shiny – interactive web apps and dashboards. 3. Optional but Useful Tools SQL / SQLAlchemy – for database queries. Spark (PySpark) – big data process

Which libraries required for being a Data Scientist

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