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TORRENT DETAILS
Udemy - Data Science Mastery - 10-in-1 Data Interview Projects Showoff
TORRENT SUMMARY
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Comprehensive Machine Learning and Data Science Projects to Boost Your Career.
What you'll learn:
Students will learn how to preprocess, visualize, and extract meaningful insights from complex datasets, enhancing their data analysis skills.
Students will gain the ability to train machine learning models, evaluate their performance, and use them for future predictions, thereby mastering predictive m
Through sentiment analysis, students will master natural language processing techniques to classify text as positive, negative, or neutral.
Students will learn how to preprocess and visualize time series data and build robust forecasting models, gaining proficiency in time series analysis.
Students will scale up their data science skills with big data analytics, learning how to process large datasets using Apache Spark in a distributed computing.
Students will apply ML to real-world problems, such as customer churn prediction, image classification, fraud detection, and housing price prediction.
By working on ten hands-on projects, students will build a portfolio that showcases their skills and experience, making them industry-ready.
With the practical experience gained from this course, students will be well-prepared to transform their careers in the field of data science and ML.
Requirements:
Basic Understanding of Mathematics: Familiarity with basic mathematical concepts such as statistics and algebra is beneficial for understanding machine learning algorithms.
Some experience with programming, preferably in Python, is required as the course involves coding in Python for implementing machine learning models.
A basic understanding of machine learning concepts would be helpful but not mandatory. The course starts from the basics and gradually moves to advanced topics.
You should have a computer with internet access and the ability to install Python and related libraries for data analysis and machine learning. Instructions for setup will be provided in the course.
Most importantly, a sense of curiosity and enthusiasm for learning new concepts and techniques is essential!
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FILE LIST
Filename
Size
~Get Your Files Here !/1. Introduction/1. Introduction.mp4
74.2 MB
~Get Your Files Here !/10. Project 9 Fraud Detection/1. 1. Introducing Fraud Detection and Conducting Exploratory Data Analysis..mp4
35.1 MB
~Get Your Files Here !/10. Project 9 Fraud Detection/2. 2. Model Building for Fraud Detection..mp4
42.7 MB
~Get Your Files Here !/10. Project 9 Fraud Detection/3. 3. Advanced Techniques for Fraud Detection..mp4
103 MB
~Get Your Files Here !/10. Project 9 Fraud Detection/4. 4. Model Evaluation and Interpretability..mp4
33.8 MB
~Get Your Files Here !/10. Project 9 Fraud Detection/5. 5. Model Deployment..mp4
32.6 MB
~Get Your Files Here !/11. Project 10 Houses Prices Prediction/1. 1. Introduction to House Prices Prediction..mp4
104.1 MB
~Get Your Files Here !/11. Project 10 Houses Prices Prediction/2. 2. Housing Data Processing & Cleaning For ML Model..mp4
123.8 MB
~Get Your Files Here !/11. Project 10 Houses Prices Prediction/3. 3. Doing EDA (Exploratory Data Analysis) Using Data Visualization..mp4
33.4 MB
~Get Your Files Here !/11. Project 10 Houses Prices Prediction/4. 4. Building Model for the Housing Data..mp4
19.8 MB
~Get Your Files Here !/11. Project 10 Houses Prices Prediction/5. 5. Validating Our Model..mp4
29 MB
~Get Your Files Here !/2. Project 1 Exploratory Data Analysis/1. 1. Visual Exploring of Google App Store Data..mp4
60.9 MB
~Get Your Files Here !/2. Project 1 Exploratory Data Analysis/2. 2. Data Cleaning and Preprocessing of Google App Store Data..mp4
46.1 MB
~Get Your Files Here !/2. Project 1 Exploratory Data Analysis/3. 3. Data Visualization Techniques..mp4
97 MB
~Get Your Files Here !/2. Project 1 Exploratory Data Analysis/4. 4. Statistical Analysis and Hypothesis Testing..mp4
49.8 MB
~Get Your Files Here !/2. Project 1 Exploratory Data Analysis/5. 5. Data Storytelling..mp4
51.7 MB
~Get Your Files Here !/2. Project 1 Exploratory Data Analysis/6. 6. Conclusion..mp4
66.6 MB
~Get Your Files Here !/3. Project 2 Sentiment Analysis/1. 1. Introduction to Sentiment Analysis & NLP..mp4
80.6 MB
~Get Your Files Here !/3. Project 2 Sentiment Analysis/2. 2. Text Preprocessing for Sentiment Analysis..mp4
108.9 MB
~Get Your Files Here !/3. Project 2 Sentiment Analysis/3. 3. Feature Extraction for Sentiment Analysis..mp4
78.3 MB
~Get Your Files Here !/3. Project 2 Sentiment Analysis/4. 4. Building Sentiment Analysis Models..mp4
29.8 MB
~Get Your Files Here !/3. Project 2 Sentiment Analysis/5. 5. Evaluation of Sentiment Analysis Models..mp4
38.9 MB
~Get Your Files Here !/4. Project 3 Predictive Modeling/1. 1. Introduction to Predictive Modeling and Machine Learning..mp4
29.1 MB
~Get Your Files Here !/4. Project 3 Predictive Modeling/2. 2. Data Exploration and Preprocessing of the Titanic Dataset..mp4
42.4 MB
~Get Your Files Here !/4. Project 3 Predictive Modeling/3. 3. Model Selection and Evaluation of The Titanic Dataset..mp4
31.3 MB
~Get Your Files Here !/4. Project 3 Predictive Modeling/4. 4. Model Training and Hyperparameter Tuning of The Titanic Dataset..mp4
59.5 MB
~Get Your Files Here !/4. Project 3 Predictive Modeling/5. 5. Deployment of The Predictive Models of The Titanic Dataset..mp4
61.5 MB
~Get Your Files Here !/5. Project 4 Time Series Analysis/1. 1. Introduction..mp4
33.7 MB
~Get Your Files Here !/5. Project 4 Time Series Analysis/2. 2. Data Preprocessing and Cleaning..mp4
23.4 MB
~Get Your Files Here !/5. Project 4 Time Series Analysis/3. 3. Visualizing Time Series Data..mp4
30.2 MB
~Get Your Files Here !/5. Project 4 Time Series Analysis/4. 4. Building and Evaluating Forecasting Models..mp4
48.4 MB
~Get Your Files Here !/5. Project 4 Time Series Analysis/5. 5. Predicting Future Bitcoin Prices..mp4
53.4 MB
~Get Your Files Here !/6. Project 5 Big Data Analytics/1. 1. Introduction to Big Data Analytics and Apache Spark..mp4
32.7 MB
~Get Your Files Here !/6. Project 5 Big Data Analytics/2. 2. Big Data Data Exploration and Preprocessing..mp4
29.9 MB
~Get Your Files Here !/6. Project 5 Big Data Analytics/3. 3. Big Data Transformation and Feature Engineering..mp4
27.6 MB
~Get Your Files Here !/6. Project 5 Big Data Analytics/4. 4. Big Data Visualization and Analysis..mp4
27.3 MB
~Get Your Files Here !/6. Project 5 Big Data Analytics/5. 5. Conclusion and Next Steps..mp4
37.7 MB
~Get Your Files Here !/7. Project 6 Tabular Playground Series Analysis/1. 1. Reading and Preprocessing Data..mp4
37.6 MB
~Get Your Files Here !/7. Project 6 Tabular Playground Series Analysis/2. 2. Data Transformation and Visualization..mp4
29.7 MB
~Get Your Files Here !/7. Project 6 Tabular Playground Series Analysis/3. 3. Train-Test Split and Model Selection..mp4
41.6 MB
~Get Your Files Here !/7. Project 6 Tabular Playground Series Analysis/4. 4. Model Training with XGBoost..mp4
30.7 MB
~Get Your Files Here !/7. Project 6 Tabular Playground Series Analysis/5. 5. Making Predictions and Submission..mp4
19.3 MB
~Get Your Files Here !/8. Project 7 Customer Churn Prediction/1. 1. Introduction to Customer Churn Prediction..mp4
29.5 MB
~Get Your Files Here !/8. Project 7 Customer Churn Prediction/2. 2. Feature Selection and Model Building..mp4
39.1 MB
~Get Your Files Here !/8. Project 7 Customer Churn Prediction/3. 3. Advanced Techniques for Churn Prediction..mp4
51 MB
~Get Your Files Here !/8. Project 7 Customer Churn Prediction/4. 4. Ensemble Methods and Model Evaluation..mp4
30.3 MB
~Get Your Files Here !/8. Project 7 Customer Churn Prediction/5. 5. Model Interpretation, Deployment, and Next steps..mp4
27 MB
~Get Your Files Here !/9. Project 8 Cats vs Dogs Image Classification/1. 1. How to download Kaggle data in Google Collab!.mp4
27.6 MB
~Get Your Files Here !/9. Project 8 Cats vs Dogs Image Classification/2. 2. Creating Directories & The images data..mp4
27.8 MB
~Get Your Files Here !/9. Project 8 Cats vs Dogs Image Classification/3. 3. Image data preprocessing and visualization with Python..mp4
29 MB
~Get Your Files Here !/9. Project 8 Cats vs Dogs Image Classification/4. 4. Creating and Validating Model using CNN..mp4
