Deep Dive into the World of Data Science

Through this Blog, we will read about what is data science, why it is such a buzzword these days, what makes data science such an effective and a hot technology to look forward to, what is it like to be a data scientist, what do you need to achieve to be a data scientist. You will also be made familiar about the applications, advantages, disadvantages, examples, real-life use cases, differences between machine learning and artificial intelligence vs neural networks vs deep learning vs prediction analysis.

We will also be reading about the various frameworks and libraries which are in very popular demand these days such as Numpy which stands for numerical python, Pandas for data frames, Scikit learn for cross-validation techniques and other model fitting techniques, seaborn for analysis, heatmaps, Tensorflow, etc. Data science is probably the most unexplored territory today and the scope to learn and create and do something out of the box is way too much in this technology and field of sciences and mathematics.