Full Stack Data Science & Machine Learning BootCamp Course

سرفصل های دوره

Learn Python, Excel,Deep Learning, Power BI, SQL, Artificial Intelligence,Business Statistics, Capstone Projects & more!

1. Introduction to the Full Stack Data Science Course

1. Introduction to the Full Stack Data Science Course

2. PYTHON - Introduction to Basics of Python for Beginners

1.1 agent_classification.csv

1.2 data structure - list,list project and tuple.zip

1.3 data structure - sets.zip

1.4 data structure- dictionary.zip

1.5 datetime features.zip

1.6 No2 dataset.csv

1.7 string manipulation.zip

1. Python - Data Structures (Lists, Tuple, Dictionary) and String Manipulations

2.1 implementing functions in python.zip

2.2 implementing recursion in python.zip

2.3 kpi for classification.zip

2.4 lambda expressions.zip

2. Python - Implementation Of Lambda, Recursion, Functions.

3.1 advertisement predictions using logistic regression.zip

3.2 advertising.csv

3.3 eda - part1.zip

3.4 eda - part2.zip

3.5 eda- descriptive analysis.zip

3.6 standard libraries in python.zip

3. Python - Understand Of Libraries,Exploratory Data Analysis,Descriptive Analysis

3. Business Statistics for Data Analysis

1.1 tutorial_stats_pel.zip

1. Introduction to statistics and Measures of central tendencies

2.1 data_cleaning_insights.zip

2.2 data.csv

2. Central Limit Theorem - CLT

3. Distributions and Correlations

4. PDF & CDF and Hypothesis Testing

5.1 basics_of_time_series_forecasting.zip

5.2 Time_Series_AirPassengers.csv

5. Time Series Analysis & Forecasting

6.1 tutorial_probability.zip

6.2 tutorial_statistics.zip

6. Probability Theory and Statistical Analysis

7.1 project_5_uk_road_accident_timeseries_forecasting.zip

7. Capstone Project - UK Road Accident Analysis Part - 1

8.1 uk_road_accident_analytics.zip

8. Capstone Project - UK Road Accident Part -2

4. MACHINE LEARNING

1.1 churn prediction logistic regression.zip

1.2 churn_prediction.csv

1.3 data_cleaned.csv

1.4 logistic regression notebook.zip

1. MACHINE LEARNING - Classical Machine Learning Algorithm Logistic Regression

2.1 bag of words.zip

2.2 covid_19_india.csv

2.3 IndividualDetails.csv

2.4 ISPA.xlsx

2.5 novel corona virus data analysis - india.zip

2.6 tf-idf.zip

2.7 word2vec.zip

2. MACHINE LEARNING - Word Embedding Techniques BoW, TF -IDF, W2V etc

3. MACHINE LEARNING - Text Cleaning and Preprocessing with Amazon Reviews Data

4. MACHINE LEARNING - Classical Machine Learning Algorithm Linear Regression

5. MACHINE LEARNING - Decision Tree Classifier and Regression with Example

6. MACHINE LEARNING - Geometric Intuition of Ensembles Models and Flask Project

7. MACHINE LEARNING - Data Analysis on Loan Approval Status

8. MACHINE LEARNING - Unsupervised Learning Algorithms K means Cluster Techniques

5. ML Capstone Project 1 Flight_Fare_Prediction

1.1 app.zip

1.2 Data_Train.xlsx

1.3 flight_rf.zip

1.4 home.html

1.5 project_1_flight_fare_price_prediction.zip

1.6 styles.zip

1.7 Test_set.xlsx

1. Project_1 - Flight_Fare_Prediction

2. Feature Engineering and Applying Classical ML Models

3. Deploy the Model with Flask Framework

6. ML Capstone Project 2 Mushroom_Classification

1.1 mushrooms.csv

1.2 project_2_mushroom_classification.zip

1. Project_2_Mushroom_Classification - Exploratory Data Analysis

2. Building The Benchmark Model and Evaluation

7. ML Capstone Project 3 NurserySchool_Application_Classification

1.1 nursery_data.csv

1.2 project_3_nursery_school_system.zip

1. Project_3_NurserySchool_Application_Classification

2. Logistic Regression, SVM, Decision Tree Models & Evaluation Metrics

8. ML Capstone Project 4 Toxic_Comments_Classification

1.1 project_4_toxic_comments_classification_eda.zip

1.2 project_4_toxic_comments_classification.zip

1. Project_4_Toxic_Comments_Classification

2. NLP - Tokenized Sequences for Visualization

3. Model Refinement - Optimize NB,SVM,LR with Feature Weight

9. ML Capstone Project 5 UK_Road_Accident_Timeseries_Forecasting

1.1 project_5_uk_road_accident_timeseries_forecasting.zip

1. Project_5_UK_Road_Accident_Timeseries_Forecasting_EDA

2. Forecast UK Accident rates based on Number of Casualties on SARIMA,FbP,LSTMs

10. Structured Query Language (SQL)

1. Introduction to SQL - SQL Syntax and Download MySQL

2. RDBMS - Data Integrity, Database Normalization

3. Data Definition Language (DDL)

4. Data Manipulation language (DML)

5. Data Control Languages (DCL) and Domain Constraints

6. Filtering Data and SET Operators in SQL

7. Conditional Expressions in SQL

8. Grouping Data

9. Joining Multiple Tables (JOINS)

10. SQL RANK Functions

11. SQL Triggers and Stored Procedures

12. SQL Capstone Project 1 Data Analytics on Movie Reviews in SQL

11. DEEP LEARNING

1.1 mlp.zip

1. DEEP LEARNING - Introduction to Neural Networks and Basics of MLP, BACKPROP

2.1 lstm_implementation_from_scratch.zip

2.2 rnn_classification.zip

2. DEEP LEARNING - In Depth Understanding of RNN and LSTM with Examples

3.1 cnn.zip

3. DEEP LEARNING - Intuition Behind the Computer Vision and CNN Algorithm

4.1 cnn_on_cifr project.zip

4. DEEP LEARNING - Convolutional Neural Networks with Pizza and CIFAR Projects

5. DEEP LEARNING - Practical Examples on Transfer Learning for Vgg16 Model

6.1 app.zip

6.2 base.html

6.3 index.html

6.4 main.zip

6.5 requirements.zip

6.6 util.zip

6. DEEP LEARNING - Web Based Flask Framework for Wild Animal Recognition with CNN

12. Microsoft Excel

1.1 Data-Formatting-Tools.xlsx

1.2 Lesson-4-Working-with-Cells-and-Ranges.xlsx

1. Introduction to Excel Workbook

2.1 Lesson-6-Excel-Tables.xlsx

2.2 Lesson-7-AutoFill-Custom-Fill-and-Flash-Fill.xlsx

2. Hands on Excel Cells and Ranges

3.1 Lesson-9-Excel-Formula-basics.xlsx

3.2 Logical-Formulas.xlsx

3. Basic Formulae - Logical Operators

4.1 Lesson-11-Math-Formulas.xlsx

4.2 Lookup-and-Reference-Formulas.xlsx

4. Excel - Lookup and Reference Formulae

5.1 Stat-Formulas.xlsx

5.2 Text-Formulas.xlsx

5. Excel - Logical Formulae

6.1 Lesson-15-Date-and-Time-Formulas.xlsx

6.2 Lesson-16-Formula-Mix-and-Match.xlsx

6. Text and Statistical Formulae

7.1 Data-Sorting-and-Filtering.xlsx

7.2 Lesson-19-Data-Sorting-and-Filtering.xlsx

7. Excel - Date & Time Formulae

8.1 Lesson-23-Dynamic-Charting-Example.xlsx

8. Excel - Sorting & Filtering

9.1 Lesson-24-Pivot-Table.xlsx

9. Dynamic Charts With Examples

10. Derive Insights with Pivot Tables

13. Microsoft Power BI (Business Intelligence Tool)

1.1 basic charts.zip

1.2 Sample - Superstore.xlsx

1. Installation Power BI Desktop and Applications of Power BI

2.1 3.4 State and UTs of India.xlsx

2.2 maps.zip

2.3 Sample - Superstore.xlsx

2. Understand the Concepts of Maps using Power BI

3.1 cards and filters.zip

3.2 Sample - Superstore.xlsx

3.3 section 5 - other charts.zip

3.4 table and matrix.zip

3. Power BI - Tables and Matrix

4.1 reference.zip

4.2 Sample - Superstore.xlsx

4.3 sample dashboard.zip

4.4 slicers.zip

4. Different Types of Power BI Slicers

5.1 reference.zip

5.2 Sample - Superstore.xlsx

5.3 slicers.zip

5. Introduction to Power Query

6.1 publishing reports to power bi service.zip

6. Hands on with Power Query Operations

7.1 12. Power Query - Date Functions.xlsx

7.2 section 12 - pq date functions.zip

7. Manipulations with Power Query Operations

8.1 13. Power Query - Number Functions.xlsx

8.2 publishing reports to power bi service.zip

8. Build a Super Store Sales Dashboard

9.1 13. Power Query - Number Functions.xlsx

9.2 14.5 append different data sources in power bi.zip

9.3 sales and production analysis new.zip

9. BI Capstone Project - Sales and Production Analysis

139,000 تومان

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تولید کننده: Udemy-Training