1.Descriptive and Inferential statistics: Turning Data into Information, Sampling Distributions, Confidence Intervals, Hypothesis Testing, Analysis of Variance.2.Excellent understanding of machine learning techniques and algorithms, such as Linear & Logistic Regression, k-NN, Naive Bayes, SVM, Decision trees, Random Forests, Gradient Boosting and PCA.3.Cleaning and pre-processing the dataset to appropriate format for predictive models.4.Creating appropriate training, test, and validation set for training the model. Exploratory data analysis, to figure out important features for machine learning.5.Having Knowledge on creating the chatbots using RASA. 6.Experienced with coding in python and good knowledge on NumPy, Pandas and Matplotlib modules.7.Test the best performing model’s development code in Python.