Extracting Meaningful Insights from Data using Exploratory Data Analysis
Raw data is normally ambiguous and difficult to interpret. Cleaning it is essential in order to understand the relationships between the variables present in the data.
Predicting Customer Churn using Machine Learning
Predicting customer churn can help your business improve upon those areas where customer service is lacking and improve revenue.
Estimating Future Customer Demand using Demand Forecasting
Demand forecasting is essential for estimating how customer's demand for products and services vary in the foreseeable future
Obtaining Accurate Predictions using Ensemble Learning Techniques
Ensemble Methods mostly are used in winning machine learning competitions by devising sophisticated algorithms and producing results with high accuracy
Pattern Recognition using kNN Algorithm
The K-Nearest Neighbors (K-NN) method of classification is one of the simplest methods in machine learning, it is essentially.
How Neural Networks can be used in Image and Speech Recognition
Artificial Neural Networks are the computational models inspired by the human brain.
How Can Companies Utilise Random Forest algorithm to make Smart Predictions
Random Forest is a supervised learning algorithm. As mentioned in the name, it creates a forest and makes it somehow random.
Text Classification using Support Vector Machines
Support vector machines are a type of supervised machine algorithm for learning which is used for classification and regression tasks.
Image Classification using k-means clustering algorithm
K-Means is an introductory algorithm to clustering techniques and it is the simplest of them. K-Means is an easy to implement and handy algorithm.
