KEEP WALKING..

THINKING, WANDERING, WALKING, RESEARCHING, WORKING ON TO HOW I CAN MAKE IMPACT FOR BETTERMENT OF PEOPLE LIVES.

#keepwalking, #thinking #impact

Comments

Post a Comment

Popular posts from this blog

Resources and Links to learn Python for Data Science.

Python Basics: Official Python Documentation: Python.org Codecademy Python Course: Codecademy Python Libraries for Data Science: NumPy: numpy.org Pandas: pandas.pydata.org Matplotlib: matplotlib.org Data Visualization: Seaborn: seaborn.pydata.org Plotly: plotly.com Data Visualization with Matplotlib Tutorial: matplotlib.org/3.3.4/tutorials/index.html Statistical Analysis: SciPy: scipy.org Statsmodels: statsmodels.org Statistics for Data Science with Python: realpython.com Machine Learning: Scikit-learn: scikit-learn.org TensorFlow: tensorflow.org PyTorch: pytorch.org Advanced Topics in Data Science: Natural Language Processing with NLTK: nltk.org Time Series Analysis with Python: statsmodels.org/dev/examples/index.html#time-series-analysis Deep Learning with TensorFlow: tensorflow.org/tutorials Deep Learning with PyTorch: pytorch.org/tutorials Data Science Communities and Platforms: Kaggle (Data Science Competitions and Datasets): kaggle.com Data Science Stack Exchange: datascience.sta...
Read more

10-week plan to learn Python for data science and data analysis, along with hands-on projects for each week.

Week 1: Introduction to Python and Data Manipulation Resources: Python Crash Course by Eric Matthes: book Codecademy Python Course: codecademy.com Hands-on Project: Perform basic Python exercises to get familiar with the language and practice data manipulation using Python lists. Week 2: Data Analysis with Pandas Resources: Pandas User Guide: pandas.pydata.org "Python for Data Analysis" by Wes McKinney: book Hands-on Project: Analyze a real-world dataset using Pandas. Practice loading data, performing data cleaning, filtering, and basic exploratory data analysis (EDA). Week 3: Data Visualization with Matplotlib and Seaborn Resources: Matplotlib Documentation: matplotlib.org Seaborn Documentation: seaborn.pydata.org Hands-on Project: Create various visualizations (line plots, bar charts, scatter plots, etc.) using Matplotlib and Seaborn with a dataset of your choice. Week 4: Statistical Analysis with SciPy and Statsmodels Resources: SciPy Documentation: scipy.org Statsmodels D...
Read more

upGrad - Abroad Education Programs.

Master Degree in Data Science in Germany Online duration -1 year On-campus duration -1 year Destination Country Germany Post Study Work Visa Eligibility 18 Months Know  More Master in International Management in Germany Online duration -1 year On-campus duration -1 year Destination Country Germany Post Study Work Visa Eligibility 18 Months Know More Master in Cyber Security in Germany Online duration -1 year 1 month On-campus duration -1 year Destination Country Germany Post Study Work Visa Eligibility 18 Months Know More Bachelor of Business Administration in Australia Online duration -1 year On-campus duration -2 years Destination Country Australia Post Study Work Visa Eligibility 24 Months Know More Bachelor of Computer Applications in Australia Online duration -1 year On-campus duration -2 years Destination Country Australia Post Study Work Visa Eligibility 24 Months Know More Bachelor of Computer Applications in USA Online duration -2 years On-campus duration -2 years Destinat...
Read more