Go to website
Learn more about Obviously AI and Machine Learning
Customer Churn Customer Churn is one the most critical problems faced by companies especially in the Telecom Sector. With so many network operators offering attractive plans, customers consider changing their network operators.Also, the cost of acquiring a new customer is significantly higher than retaining a current customer.Hence it is extremely important for the companies to identify the most important factors that lead to customer churn and take appropriate actions to retain them. O
What is Machine Learning ?
The word Machine Learning is a very popular buzzword. What does it mean? Machine learning is the a branch of artificial intelligence that allows the the systems to learn by themselves from historic data without being explicitly programmed. Some examples of AI and machine learning are: We have been unlocking our phone using our fingerprints and face. In this case the machine learning model is used to detect biometric patterns and identify a person. On social networking platforms like F
How is Machine Learning different from the traditional Approach?
In Traditional Approach we have the Data and the rules. We input the data and rules to get the output. For eg Let's say we have a Right Angled Triangle. We know the two sides ('a' and 'b') and we want to calculate the hypotenuse (c). Int traditional approach, we will use the Pythagoras formula and get the hypotenuse. c = √(a² + b²) In the case of machine learning, we send the data + output value and the model finds the rules. We take the two sides and the actual value of the hypotenus
What's possible with Obviously AI?
Types of Machine Learning Machine Learning Machine learning can be broadly divided into the following three categories: Supervised Learning Unsupervised Learning Reinforcement Learning Supervised Learning Supervised Learning - In supervised learning we have a dataset and we know exactly what we are going to predict. Supervised learning requires a labell
How does Obviously AI work?
With Obviously AI you can make predictions in just a few clicks. Generally Machine Learning is a time consuming process.It involves a series of steps like preprocessing and cleaning the data, building models, evaluating and deploying the models. All of these steps require a dedicated data science teams and can takes weeks or even months. Traditional ML approach However with
What makes for a good Dataset ?
A good dataset is critical for Machine Learning and helps to make accurate predictions. A good Dataset should have fewer missing values and must essentially include columns which can influence the prediction column/Target variable.Let us take an example of the Customer Churn Dataset. The Customer churn is influenced by various parameters like the usage, income, age, location, payments etc. So it is important to have the columns with have Demographic, Usage and Transactional informati
What Algorithms are available? Can I change the hyperparameters?
We have integrated several algorithms like LogisticRegression, Decision Trees, Random Forests, Gradient Boosted Trees etc. Learn more about available Algorithms With Obviously AI you can pick the and run the model with any of the supported algorithms. Let's say Logistic Regression gave the best results. However you want an algorithm that is more interpretable. So you can certai