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Data Science with Python : Get a grasp on python - Panter - 25.07.2022 ![]() Data Science with Python : Get a grasp on python Published 06/2022 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + srt | Duration: 51 lectures (38h 11m) | Size: 18.9 GB Learn to use Python for data analysis & visualization in this hands-on guide to programming for data science What you'll learn 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 Requirements No prior experience is required. Description 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 time! Both beginners 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! Who this course is for Beginner Python developers curious about Machine Learning and Data Science with Python This course is for you if you want a great career in AI. Download from RapidGator Download from Rapidgator: Download from Keep2Share |