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Basic coding in python and getting setting data using pandas
Understanding ML fundamentals and python understanding
Code for parsing a triangle
Use a loop to iterate through each line of the triangle
Split each line into an array of numbers
Store the parsed numbers in a 2D array or a list of lists
The ASCII value is a numerical representation of a character. It includes both capital and small alphabets.
ASCII values range from 65 to 90 for capital letters A to Z.
ASCII values range from 97 to 122 for small letters a to z.
For example, the ASCII value of 'A' is 65 and the ASCII value of 'a' is 97.
I applied via Campus Placement and was interviewed before Sep 2020. There were 3 interview rounds.
PCA is a dimensionality reduction technique, decision tree is a classification algorithm, and computer vision is a field of study focused on enabling computers to interpret and understand visual information.
PCA is used to reduce the number of variables in a dataset while retaining the most important information.
Decision trees are used to classify data based on a set of rules and conditions.
Computer vision involves usin...
I applied via Naukri.com and was interviewed in Jul 2021. There was 1 interview round.
I applied via Recruitment Consultant and was interviewed in Mar 2021. There was 1 interview round.
I applied via Job Portal and was interviewed in Jan 2021. There were 3 interview rounds.
I have worked on various projects involving machine learning algorithms, hyperparameter tuning, cross validation, and evaluation metrics.
Developed a predictive model for customer churn using logistic regression and decision trees
Used random forest algorithm for image classification in a computer vision project
Implemented hyperparameter tuning using grid search and randomized search for a sentiment analysis project
Evalu...
Random forest uses feature importance to select the most relevant features for prediction.
Random forest calculates feature importance based on how much each feature decreases impurity in the model
Features with higher importance are considered more relevant for prediction
Random forest can automatically handle feature selection by using only the most important features
Example: In a random forest model predicting customer...
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