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Data Science & Applied Deep Learning (Certified)

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Course offered by Sathwik Mandava

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The role of a Data Scientist is one of the hottest in the industry. According to the Glassdoor, Data Science has been ranked as one of the best career paths, providing not just a great salary but also an opportunity to work on some of the worlds most interesting problems. With this course, we aim to provide you with a comprehensive understanding of Data Science, Machine Learning and Deep Learning.

This Course is majorly divided into 3 parts:

  • First, get familiar with Python and its libraries like NumPy, Pandas, MatplotLib, Seaborn, Plotly, etc., required for Data Science and Machine Learning.
  • Next, master popular Machine Learning Algorithms and their techniques, like Linear Regression, Logistic Regression, Decision Trees, Random Forests, Support Vector Machines, Nearest Neighbours, K-Means Clustering, etc.

While most of the introductory courses online stop here, we took it a step furtherâ?¦

  • Last, craft advanced Artificial Neural Networks with TensorFlow, Keras and OpenCV.

We believe that the best way to master Deep Learning is by doing rather than just learning, so after this 45-day course, participate in various competitions and hackathons with our guidance for the next 45 days to kick boost your Data Science career. 

At the end of the course receive a verifiable certificate in association with REO and ClusterIT.

About the Trainer

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Sathwik Mandava

PG - AI&DS

4 Years of Experience

I have experience in many fields including Robotics, Automation, IoT, Drones (Quadcopters), Web Development, 3d Designing. But for the past few years I have mastered Data Science, Machine Learning, Deep Learning and even started teaching in this field since the beginning of last year. I even designed my own custom curriculum for a fast track course 'Data Science and Applied Deep Learning' along with the resources for the course.

My fields of expertise include Data Wrangling, Data Visualisation, Machine Learning, ANNs, CNNs, LSTMs and Auto Encoders. Currently experimenting in GANs.

My hobbies other than playing with data include Swimming, Video Games and Mystery novels.

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