1,278 Student Reviews
Data Scientist with 4+ years of hands-on experience in creating end-to-end analytics solutions for clients' complex business problems. Focused on building AI/ML and MLops architecture for central cloud AWS, GCP, and Azure. Assisted and Led various successful sales pursuits for Health care, Life Sciences, Banking, and Retail clients
Data Scientist with 4+ years of hands-on experience in creating end-to-end analytics solutions for clients' complex business problems. Focused on building AI/ML and MLops architecture for central cloud AWS, GCP, and Azure. Assisted and Led various successful sales pursuits for Health care, Life Sciences, Banking, and Retail clients
I am a junior software engineer and my bachelor's specialises in Artificial intelligence and Machine Learning. My key skills are Python, Data Science, and Web Development. I have practical experience working with real-world projects and open-source contribution
I am a junior software engineer and my bachelor's specialises in Artificial intelligence and Machine Learning. My key skills are Python, Data Science, and Web Development. I have practical experience working with real-world projects and open-source contribution
With our intuitive platform, learning has never been easier. Dive into interactive lessons, complete hands-on projects, test your knowledge with quizzes, and track your progress every step of the way, all from the comfort of your own home and at your own pace.
With our intuitive platform, learning has never been easier. Dive into interactive lessons, complete hands-on projects, test your knowledge with quizzes, and track your progress every step of the way, all from the comfort of your own home and at your own pace.
I have 3+ years of experience as a data scientist. Good hands on in python and R programming. Have good experience in dealing with unstructured data, data handling and data exploration. Good experience in machine learning models and deep learning models.
I have 3+ years of experience as a data scientist. Good hands on in python and R programming. Have good experience in dealing with unstructured data, data handling and data exploration. Good experience in machine learning models and deep learning models.
I have completed my data science course in 5g analytics gachibowli. I am very good at statistics.And I can do machine learning algorithms in both R as well as python.I have done some projects also. You can find that in my resume
I have completed my data science course in 5g analytics gachibowli. I am very good at statistics.And I can do machine learning algorithms in both R as well as python.I have done some projects also. You can find that in my resume
I am working as statistical programmer in multinational organisation. I have total of 3 years of experience in SAS programming. I have worked on SDTM, ADaM, TLF, CRF Annotations, define.xml and till submission of the data to regulatory authorities.
I am working as statistical programmer in multinational organisation. I have total of 3 years of experience in SAS programming. I have worked on SDTM, ADaM, TLF, CRF Annotations, define.xml and till submission of the data to regulatory authorities.
I am a senior Solution Architect working in the AI/ ML domain with expertise and experience in architecting, building solutions for various AI/ML use cases.
I am a senior Solution Architect working in the AI/ ML domain with expertise and experience in architecting, building solutions for various AI/ML use cases.
I can teach every topic very easily and make it stronger for the students.
I can teach every topic very easily and make it stronger for the students.
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Validation set is used for tuning the parameters of a model. Test set is used for performance evaluation.
Why is data science important? Data science is important because it combines tools, methods, and technology...
A shallow neural network has only one hidden layer between the input and output layers, while a deep neural network has multiple hidden layers.
Word embedding is a technique in natural language processing (NLP) that represents words as dense...
No its difficult language so no need to learn it.
K-means is one of the simplest unsupervised learning algorithms that solve the well-known clustering problem. The procedure follows a simple and easy way...
https://vz-3ad30922-ba4.b-cdn.net/f7e9dfa6-3dcf-49c2-b1f7-103a96112c93/play_480p.mp4
If you are working for Data analysis activity in a project, you need to know the data mining concepts. The Data science handles a series of steps in this...
learning mathematical concepts requires two preconditions - that you understand and write rigorous proofs for even simple concepts and that you understand...
K-means is one of the simplest unsupervised learning algorithms that solve the well-known clustering problem. The procedure follows a simple and easy way...