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Demo - Data Science Master Training - Trainer Kumar
⏲ 52 min 9 sec ✓ 10-Feb-2019
Data Analyst Bootcamp for Beginners (SQL, Tableau, Power BI, Python, Excel, Pandas, Projects, more)
⏲ 19 hours 23 minutes 46 seconds 👁 378.7K
Data Analysis with Python for Excel Users - Full Course
⏲ 3 hours 57 minutes 46 seconds 👁 1M
Unleashing the Power of Neural Networks: A Personal Journey into Creating and Harnessing a Neural Network for Trading Stocks
⏲ 34 min 55 sec ✓ 20-Jul-2023
Linear Regression Model Techniques with Python, NumPy, pandas and Seaborn
⏲ 13 minutes 46 seconds 👁 27K
Jupyter Notebooks In Google Colab: Bellingcat Tech Series
⏲ 8 minutes 49 seconds 👁 274
Les boucles : for avec Numpy et Pandas
⏲ 4 min 90 sec ✓ 19-Jul-2020
Data Analytics FULL Course for Beginners to Pro in 29 HOURS - 2024 Edition
⏲ 29 hours 13 minutes 47 seconds 👁 978K
Day 03 - Numpy and data concepts| Data Science Masterclass
⏲ 49 minutes 5 seconds 👁 1.1K
Pandas Data Cleaning
⏲ 27 min 7 sec ✓ 12-May-2021
NumPy for Beginners in 15 minutes | Python Crash Course
⏲ 17 minutes 23 seconds 👁 18.8K
My top 25 pandas tricks
⏲ 27 minutes 38 seconds 👁 131.3K
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_demo-data-science-master-training-trainer-kumar.webp "For More Info: Please visit, zarantech.com/data-science-master-program/nContact: +1 (515) 309-7846 (or) Email - info@zarantech.comn==========================================nCourse Duration:100 hours Live Training + Assignments + Actual Project Based Case Studiesn===========================================nMODULES COVERED IN THIS TRAINING:nnUnit 1: Programming in python and r:nnBelow topics are covered in this Python essentials module for Data Science.nPython & R basics.nConditional and loop")
_data-analyst-bootcamp-for-beginners-sql-tableau-power-bi-python-excel-pandas-projects-more.webp "freeCodeCamp.org")
_data-analysis-with-python-for-excel-users-full-course.webp "freeCodeCamp.org")
_unleashing-the-power-of-neural-networks-a-personal-journey-into-creating-and-harnessing-a-neural-network-for-trading-sto.webp "In a world where artificial intelligence is becoming complex and gaining influence, creating and using a machine learning model is not only a technical endeavor but also a personal journey of exploration, challenges, and growth. Tom Pickel shared his journey of building a neural network from the ground up. Tom shared his experience in creating a neural network using Python’s basic data science packages (Numpy and Pandas) for trying to predict movements in the stock market. We mentioned loading")
_linear-regression-model-techniques-with-python-numpy-pandas-and-seaborn.webp "Matt Macarty")
_jupyter-notebooks-in-google-colab-bellingcat-tech-series.webp "Bellingcat")
_les-boucles-for-avec-numpy-et-pandas.webp "Les boucles : for avec Numpy et Pandas from pandas numpy")
_data-analytics-full-course-for-beginners-to-pro-in-29-hours-2024-edition.webp "WsCube Tech")
_day-03-numpy-and-data-concepts-124-data-science-masterclass.webp "pantechelearning")
_pandas-data-cleaning.webp "In this lesson Greg Damico demonstrates data cleaning using pandas and the methods in the pandas package. Beginning with an exploratory data analysis (EDA) the data is inspected and pandas packages are used to begin cleaning the data for analysis.Topics included in this lesson are:.info, .describe, .value_counts, .map, .apply, .isna, .unique, lambda functions, handling missing data, dropping missing data, .applymap, and faster numpy methods including np.where and np.select")
_numpy-for-beginners-in-15-minutes-124-python-crash-course.webp "Nicholas Renotte")
_my-top-25-pandas-tricks.webp "Data School")
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