Data Science with Python : Get a grasp on python

[LeeAndro]

Published 06/2022MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 ChGenre: eLearning | Language: English + srt | Duration: 51 lectures (38h 11m) | Size: 18.9 GB

Start coding in Python and learn how to use it for statistical analysis
Be able to create Machine Learning algorithms in Python, using NumPy, statsmodels and scikit-learn
Fill up your resume with in demand data science skills: Statistical analysis, Python programming with NumPy, pandas, matplotlib, and Seaborn, Advanced statistic
Perform linear and logistic regressions in Python
Improve Machine Learning algorithms by studying underfitting, overfitting, training, validation, n-fold cross validation, testing, and how hyperparameters could
Impress interviewers by showing an understanding of the data science field
Apply your skills to real-life business cases
You will build a portfolio of data science projects with real world data.​

Learn Pandas for data manipulation with Python.
Explore how to deploy your machine learning models as interactive APIs.
Carry out cluster and factor analysis
Learn to use Seaborn for statistical plots
Get set-up quickly with the Anaconda data science stack environment.
Use state-of-the-art Deep Learning frameworks such as Google's TensorFlowDevelop a business intuition while coding and solving tasks with big data
Unfold the power of deep neural networks

No prior experience is required.

In the 21st century, data scientists are poised to become one of the most valuable workers in the workforce. There are many possible explanations for this, including the rise of big data and the increase in demand for data analysis.

However, demand has been outpacing supply. College graduates have had trouble finding jobs as data scientists.

Most online courses focus on a specific topic. It is difficult to see how a specific skill the online course teaches will fit in the broader picture of your career.

You will learn how to use Python to analyze data, visualize it, and use powerful machine learning algorithms during this comprehensive course!

Glassdoor ranks data scientist as the number one job and indeed says that the average data scientist salary in the United States is over $120,000. A career in data science allows you to solve the most fascinating problems of our !

Both bners with some experience in programming and experienced developers who want to move into Data Science will benefit from this course!

This comprehensive course includes the following topics

Programming with Python

NumPy with Python

Using pandas Data Frames to solve complex tasks

Use pandas to handle Excel Files

Web scraping with python

Connect Python to SQL

Use matplotlib and seaborn for data visualizations

Use plotly for interactive visualizations

Machine Learning with SciKit Learn, including

Linear Regression

K Nearest Neighbors

K Means Clustering

Decision Trees

Random Forests

Natural Language Processing

Neural Nets and Deep Learning

Support Vector Machines

and much, much more!

Bner Python developers curious about Machine Learning and Data Science with Python
This course is for you if you want a great career in AI.

HomePage:

https://anonymz.com/https://www.udemy.com/course/infodal-data-science-with-python-get-a-grasp-on-python/

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