1. Regression & Classification Linear Multivariate Linear Logistic Softmax Vectorization Gradient Calculation Stochastic Gradient Descent (SGD) Optimizers and Objectives 2. Regularization Ridge regression 3. Clustering k – Means EM Algorithms 4. Unsupervised Learning Autoencoders PCA Whitening sparse coding 5. Neural Network Perceptrons Backpropagation Restricted Boltzmann Machines Learning Vector Quantization 6. Deep Learning Stacked Autoencoders Convolution […]


Data Analysis – Machine Learning Pandas (data preparation) Pandas help you to carry out your entire data analysis workflow in Python without having to switch to a more domain specific language like R. Practical real world data analysis, reading and writing data, data alignment, reshaping, slicing, fancy indexing, and subsetting, size mutability, merging and joining, Hierarchical axis indexing, Time series-functionality.See More: Pandas […]


The new Dashboarding and reporting tool Google Data Studio which was launched in 2016 is now available for free for small business earlier it was limited to 5 data reports, now the limit has been lifted from 5 to unlimited.Data Studio turns your data into informative Dashboards and Reports which you can read, easy to share, and fully customizable. […]


A series of operations on data, to retrieve, transform or classify information, Also the collection and manipulation of items of data to produce meaningful information are known as Data Processing, Some useful Data Processing Command Line tools.AgateAlternative to Numpy and pandas that solve real-world problems with readable code.IMGKitPython library of HTML to IMG wrapper.Xml2JsonConverts an XML input to […]





When you’ll start working with NoSQL databases, sooner or later you come across CAP theorem, The theorem published by Eric Brewer in 2000, that describe any distributed system. In a distributed database system C stands for Consistency, A stands for Availability and P stands for Partition Tolerance. Consistency – Every node in the system will have the same view […]


In our day-to-day life we generate a lot of data like tweets, facebook posts, comments, Blog posts, articles which are generally in our natural language and which  falls in category of semi-structured  and unstructured data, So as when we process natural language data “the unstructured data – plain text”  we call it Natural Language Processing. Natural […]