I have designed and developed a tool can be used for standard data exploration and analysis. You can experiment either with the existing standard data or upload a datafile of your own. The data is preprocessed internally and can be explored using the standards plots provided by the tool. You...
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## Balancing techniques for unbalanced datasets

### in Python & R

Data Sampling in data science is an important aspect for any statistical analysis project which is used to select, manipulate and analyze a representative subset of data points called samples in order to identify patterns and trends in the larger data set usually termed as population being examined. Lets say...
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## Designing neural network

### What activation function you plan to implement

Activation function defines the way the output is manipulated based on the input in a Neural Network. These functions must not only be differentiable but they are also mostly non-linear for determining a non-linear decision boundary using non-linear combinations of the input feature vector and weights. A few options for...
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## Data Project - Stock Market Analysis

### Risk Analysis Monte Carlo

We have already learnt about Monte Carlo method in the previous post - Monte Carlo.
In this post I am going to discuss on how can that method be used for determining the maximum risk involved in investing to a stock.
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## Monte Carlo Method

### Data Analytics

Monte Carlo Method is a computational mathematical technique that allows us to interpret all probable outcomes of our decisions allowing better decision making strategies under uncertainty. The essential idea behind this method is using randomness to solve problems that might be deterministic in principle.
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