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TORRENT DETAILS
Data Science Create Real World Projects
TORRENT SUMMARY
Status:
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Data science encapsulates the interdisciplinary activities required to create data-centric artifacts and applications that address specific scientific, socio-political, business, or other questions.
Let’s look at the constituent parts of this statement:
1. Data: Measurable units of information gathered or captured from activity of people, places and things.
2. Specific Questions: Seeking to understand a phenomenon, natural, social or other, can we formulate specific questions for which an answer posed in terms of patterns observed, tested and or modeled in data is appropriate.
3. Interdisciplinary Activities: Formulating a question, assessing the appropriateness of the data and findings used to find an answer require understanding of the specific subject area. Deciding on the appropriateness of models and inferences made from models based on the data at hand requires understanding of statistical and computational methods
Why Data Science?
The granularity, size and accessibility data, comprising both physical, social, commercial and political spheres has exploded in the last decade or more.
According to Hal Varian, Chief Economist at Google and I quote:
“I keep saying that the sexy job in the next 10 years will be statisticians and Data Scientist”
“The ability to take data—to be able to understand it, to process it, to extract value from it, to visualize it, to communicate it—that’s going to be a hugely important skill in the next decades, not only at the professional level but even at the educational level for elementary school kids, for high school kids, for college kids.”
Section 1: Setting up Anaconda and Editor/Libraries
Section 2: Learning about Data Science Lifecycle and Methodologies
Section 3: Learning about Data preprocessing: Cleaning, normalization, transformation of data
Section 4: Some machine learning models: Linear/Logistic Regression
Section 5: Project 1: Hotel Booking Prediction System
Section 6: Project 2: Natural Language Processing
Section 7: Project 3: Artificial Intelligence
Section 8: Farewell Who this course is for:
This course is dedicated to those people who has some knowledge of programming and wants to learn about how to solve data science and machine learning problems This course is for them who wants to built career in the field of Data science and Machine Learning This course is for them who wants to learn data science in perfect way: by learning about feature engineering: data cleaning, transforming and using it to algorithms This course is for them who wants to learn Machine Learning and Artificial Intelligence by creating fun projects
Requirements
Basic knowledge of Python programming is essential You should know topics of programming like functions, data structures and object oriented programming
Last Updated 4/2022
VISITOR COMMENTS (0 )
FILE LIST
Filename
Size
.pad/0
146 B
.pad/1
1.7 KB
.pad/2
235 B
.pad/3
126 B
TutsNode.com.txt
63 B
[TutsNode.com] - Data Science Create Real World Projects/10 - Introduction to Logistic Regression/51 - Learn about Gradient Descent English.vtt
7.5 KB
[TutsNode.com] - Data Science Create Real World Projects/10 - Introduction to Logistic Regression/52 - Implement Logistic Regression part 1 English.vtt
25.3 KB
[TutsNode.com] - Data Science Create Real World Projects/10 - Introduction to Logistic Regression/52 - logistic.zip
143.3 KB
[TutsNode.com] - Data Science Create Real World Projects/10 - Introduction to Logistic Regression/53 - Implement Logistic Regression part 2 English.vtt
38.8 KB
[TutsNode.com] - Data Science Create Real World Projects/10 - Introduction to Logistic Regression/53 - logistic.zip
143.3 KB
[TutsNode.com] - Data Science Create Real World Projects/11 - Project 1 Hotel Booking Prediction System (Learn Classification problem)/57 - Clean NA values English.vtt
10.6 KB
[TutsNode.com] - Data Science Create Real World Projects/11 - Project 1 Hotel Booking Prediction System (Learn Classification problem)/58 - Clean your data English.vtt
14.5 KB
[TutsNode.com] - Data Science Create Real World Projects/11 - Project 1 Hotel Booking Prediction System (Learn Classification problem)/59 - Analysis 1 Where do the guest come from English.vtt
14.1 KB
[TutsNode.com] - Data Science Create Real World Projects/11 - Project 1 Hotel Booking Prediction System (Learn Classification problem)/60 - Analysis 2 How much do guests pay for room per night English.vtt
14.8 KB
[TutsNode.com] - Data Science Create Real World Projects/11 - Project 1 Hotel Booking Prediction System (Learn Classification problem)/61 - Analysis 3 How does the price vary English.vtt
19 KB
[TutsNode.com] - Data Science Create Real World Projects/11 - Project 1 Hotel Booking Prediction System (Learn Classification problem)/62 - Sorting English.vtt
14.9 KB
[TutsNode.com] - Data Science Create Real World Projects/11 - Project 1 Hotel Booking Prediction System (Learn Classification problem)/63 - Analysis 4 Which months are busy months English.vtt
15.9 KB
[TutsNode.com] - Data Science Create Real World Projects/11 - Project 1 Hotel Booking Prediction System (Learn Classification problem)/64 - Analysis 5 How long do people stay at the hotels English.vtt
19.4 KB
[TutsNode.com] - Data Science Create Real World Projects/11 - Project 1 Hotel Booking Prediction System (Learn Classification problem)/65 - Feature selection using coorelation English.vtt
16 KB
[TutsNode.com] - Data Science Create Real World Projects/11 - Project 1 Hotel Booking Prediction System (Learn Classification problem)/66 - Refine Numerical attributes English.vtt
8.7 KB
[TutsNode.com] - Data Science Create Real World Projects/11 - Project 1 Hotel Booking Prediction System (Learn Classification problem)/67 - Refine Categorical attributes English.vtt
10.8 KB
[TutsNode.com] - Data Science Create Real World Projects/11 - Project 1 Hotel Booking Prediction System (Learn Classification problem)/68 - Augment the data English.vtt
8.9 KB
[TutsNode.com] - Data Science Create Real World Projects/11 - Project 1 Hotel Booking Prediction System (Learn Classification problem)/69 - Mean Encoding for Categorical attributes English.vtt
26.4 KB
[TutsNode.com] - Data Science Create Real World Projects/11 - Project 1 Hotel Booking Prediction System (Learn Classification problem)/70 - Preparing our data English.vtt
16.1 KB
[TutsNode.com] - Data Science Create Real World Projects/11 - Project 1 Hotel Booking Prediction System (Learn Classification problem)/71 - Feature Importance English.vtt
16.4 KB
[TutsNode.com] - Data Science Create Real World Projects/11 - Project 1 Hotel Booking Prediction System (Learn Classification problem)/72 - Splitting data and Building models English.vtt
27 KB
[TutsNode.com] - Data Science Create Real World Projects/12 - Project 2 Natural Language Processing/73 - Loading the data to the project English.vtt
12.8 KB
[TutsNode.com] - Data Science Create Real World Projects/12 - Project 2 Natural Language Processing/74 - Introduction to Corpus and Term Document Matrix English.vtt
7.7 KB
[TutsNode.com] - Data Science Create Real World Projects/12 - Project 2 Natural Language Processing/75 - Storing data into the data frame English.vtt
8.5 KB
[TutsNode.com] - Data Science Create Real World Projects/12 - Project 2 Natural Language Processing/76 - Cleaning the data.mp4
245.4 MB
[TutsNode.com] - Data Science Create Real World Projects/12 - Project 2 Natural Language Processing/77 - Creating Document Term Matrix English.vtt
8.9 KB
[TutsNode.com] - Data Science Create Real World Projects/12 - Project 2 Natural Language Processing/78 - Analyzing most commonly spoken words English.vtt
15.1 KB
[TutsNode.com] - Data Science Create Real World Projects/12 - Project 2 Natural Language Processing/79 - Creating wordcloud English.vtt
23 KB
[TutsNode.com] - Data Science Create Real World Projects/12 - Project 2 Natural Language Processing/79 - Creating wordcloud.mp4
207.3 MB
[TutsNode.com] - Data Science Create Real World Projects/12 - Project 2 Natural Language Processing/80 - Profanity English.vtt
12.8 KB
[TutsNode.com] - Data Science Create Real World Projects/12 - Project 2 Natural Language Processing/82 - Sentiment Label English.vtt
8.1 KB
[TutsNode.com] - Data Science Create Real World Projects/12 - Project 2 Natural Language Processing/83 - Plotting Polarity and Subjectivity English.vtt
8.3 KB
[TutsNode.com] - Data Science Create Real World Projects/12 - Project 2 Natural Language Processing/84 - Topic Modeling English.vtt
14.5 KB
[TutsNode.com] - Data Science Create Real World Projects/12 - Project 2 Natural Language Processing/85 - Topic Modeling Part Of Speech Tagging English.vtt
12.7 KB
[TutsNode.com] - Data Science Create Real World Projects/13 - Project 3 Artificial Intelligence Neural Network/89 - Neuron English.vtt
29.4 KB
[TutsNode.com] - Data Science Create Real World Projects/13 - Project 3 Artificial Intelligence Neural Network/90 - Learn to create MLP model English.vtt
20.1 KB
[TutsNode.com] - Data Science Create Real World Projects/13 - Project 3 Artificial Intelligence Neural Network/91 - Multi English.vtt
24.4 KB
[TutsNode.com] - Data Science Create Real World Projects/13 - Project 3 Artificial Intelligence Neural Network/92 - Multi English.vtt
8.8 KB
[TutsNode.com] - Data Science Create Real World Projects/13 - Project 3 Artificial Intelligence Neural Network/93 - Multi English.vtt
13.3 KB
[TutsNode.com] - Data Science Create Real World Projects/2 - Data Science Environment Setup/2 - Install anaconda on your machine English.vtt
12.3 KB
[TutsNode.com] - Data Science Create Real World Projects/2 - Data Science Environment Setup/3 - Set up environment and Download Machine Learning Libraries English.vtt
16.7 KB
[TutsNode.com] - Data Science Create Real World Projects/2 - Data Science Environment Setup/4 - Introduction to Jupyter Notebook English.vtt
27 KB
[TutsNode.com] - Data Science Create Real World Projects/3 - Data Science Lifecycle Methodology/5 - Data Science Methodologies English.vtt
9.3 KB
[TutsNode.com] - Data Science Create Real World Projects/3 - Data Science Lifecycle Methodology/7 - Phases of CRISP English.vtt
4.4 KB
[TutsNode.com] - Data Science Create Real World Projects/3 - Data Science Lifecycle Methodology/9 - Phases of CRISP English.vtt
7.6 KB
[TutsNode.com] - Data Science Create Real World Projects/4 - Introduction to Data Cleanup Munging/11 - Data Quality English.vtt
9.2 KB
[TutsNode.com] - Data Science Create Real World Projects/4 - Introduction to Data Cleanup Munging/12 - Check if data is valid or not English.vtt
13.5 KB
[TutsNode.com] - Data Science Create Real World Projects/4 - Introduction to Data Cleanup Munging/18 - Inspect the data English.vtt
2.4 KB
[TutsNode.com] - Data Science Create Real World Projects/4 - Introduction to Data Cleanup Munging/19 - Cleaning the data English.vtt
14.3 KB
[TutsNode.com] - Data Science Create Real World Projects/4 - Introduction to Data Cleanup Munging/20 - Goal of data munging English.vtt
7.9 KB
[TutsNode.com] - Data Science Create Real World Projects/4 - Introduction to Data Cleanup Munging/21 - Understand your data English.vtt
8.5 KB
[TutsNode.com] - Data Science Create Real World Projects/4 - Introduction to Data Cleanup Munging/22 - Introduction to Outliers English.vtt
8.6 KB
[TutsNode.com] - Data Science Create Real World Projects/4 - Introduction to Data Cleanup Munging/23 - Finalize Data Munging English.vtt
13 KB
[TutsNode.com] - Data Science Create Real World Projects/5 - Cleaning data (Coding session) Feature Engineering/24 - Handle data type mismatch English.vtt
27.3 KB
[TutsNode.com] - Data Science Create Real World Projects/5 - Cleaning data (Coding session) Feature Engineering/24 - Handle data type mismatch.mp4
242.8 MB
[TutsNode.com] - Data Science Create Real World Projects/5 - Cleaning data (Coding session) Feature Engineering/24 - pandas-data-type-mismatch.ipynb
44.8 KB
[TutsNode.com] - Data Science Create Real World Projects/5 - Cleaning data (Coding session) Feature Engineering/25 - pandas-duplicate-data.ipynb
22.2 KB
[TutsNode.com] - Data Science Create Real World Projects/5 - Cleaning data (Coding session) Feature Engineering/25 - Remove Duplicate data English.vtt
12.3 KB
[TutsNode.com] - Data Science Create Real World Projects/5 - Cleaning data (Coding session) Feature Engineering/26 - Handling missing data English.vtt
11.9 KB
[TutsNode.com] - Data Science Create Real World Projects/5 - Cleaning data (Coding session) Feature Engineering/26 - pandas-missing-data.ipynb
22.4 KB
[TutsNode.com] - Data Science Create Real World Projects/5 - Cleaning data (Coding session) Feature Engineering/27 - Feature Importance English.vtt
15.5 KB
[TutsNode.com] - Data Science Create Real World Projects/5 - Cleaning data (Coding session) Feature Engineering/27 - Sklearn-Feature-Importance.ipynb
113.2 KB
[TutsNode.com] - Data Science Create Real World Projects/5 - Cleaning data (Coding session) Feature Engineering/28 - Sklearn-Feature-Importance.ipynb
113.2 KB
[TutsNode.com] - Data Science Create Real World Projects/6 - Introduction to Feature Transformation/29 - Introduction to Feature Importance English.vtt
10.7 KB
[TutsNode.com] - Data Science Create Real World Projects/6 - Introduction to Feature Transformation/30 - min-max-scaler.ipynb
48.5 KB
[TutsNode.com] - Data Science Create Real World Projects/6 - Introduction to Feature Transformation/31 - Data Standardization English.vtt
10.8 KB
[TutsNode.com] - Data Science Create Real World Projects/6 - Introduction to Feature Transformation/32 - min-max-scaler.ipynb
48.5 KB
[TutsNode.com] - Data Science Create Real World Projects/6 - Introduction to Feature Transformation/32 - Normalization in practice English.vtt
12.1 KB
[TutsNode.com] - Data Science Create Real World Projects/6 - Introduction to Feature Transformation/33 - standard-scaler.ipynb
38.1 KB
[TutsNode.com] - Data Science Create Real World Projects/6 - Introduction to Feature Transformation/33 - Standardization in practice English.vtt
16.3 KB
[TutsNode.com] - Data Science Create Real World Projects/6 - Introduction to Feature Transformation/34 - Introduction to One Hot Encoding English.vtt
12.5 KB
[TutsNode.com] - Data Science Create Real World Projects/6 - Introduction to Feature Transformation/34 - one-hot-encoding.ipynb
16.2 KB
[TutsNode.com] - Data Science Create Real World Projects/6 - Introduction to Feature Transformation/35 - One Hot Encoding in practice English.vtt
15.2 KB
[TutsNode.com] - Data Science Create Real World Projects/6 - Introduction to Feature Transformation/35 - one-hot-encoding.ipynb
16.2 KB
[TutsNode.com] - Data Science Create Real World Projects/7 - Introduction to Machine Learning/36 - Types of data in Machine Learning English.vtt
10.7 KB
[TutsNode.com] - Data Science Create Real World Projects/7 - Introduction to Machine Learning/37 - Structured format for datasets English.vtt
10 KB
[TutsNode.com] - Data Science Create Real World Projects/7 - Introduction to Machine Learning/38 - Introduction to pandas library English.vtt
32.6 KB
[TutsNode.com] - Data Science Create Real World Projects/7 - Introduction to Machine Learning/39 - Train Test split Concept English.vtt
18.9 KB
[TutsNode.com] - Data Science Create Real World Projects/8 - Introduction to Decision Tree/40 - Decision Tree part 1 English.vtt
37.2 KB
[TutsNode.com] - Data Science Create Real World Projects/8 - Introduction to Decision Tree/41 - Decision Tree part 2 English.vtt
30.6 KB
[TutsNode.com] - Data Science Create Real World Projects/8 - Introduction to Decision Tree/42 - Code Decision Tree classifier English.vtt
34.7 KB
[TutsNode.com] - Data Science Create Real World Projects/8 - Introduction to Decision Tree/42 - Code Decision Tree classifier.mp4
235.5 MB
[TutsNode.com] - Data Science Create Real World Projects/8 - Introduction to Decision Tree/42 - Decision-Tree-Classifier.ipynb
28.6 KB
[TutsNode.com] - Data Science Create Real World Projects/8 - Introduction to Decision Tree/43 - Decision Tree GINI index English.vtt
12.8 KB
[TutsNode.com] - Data Science Create Real World Projects/8 - Introduction to Decision Tree/43 - Decision-Tree-Classifier.ipynb
28.6 KB
[TutsNode.com] - Data Science Create Real World Projects/9 - Introduction to Linear Regression/44 - Introduction to Linear Regression English.vtt
18.5 KB
[TutsNode.com] - Data Science Create Real World Projects/9 - Introduction to Linear Regression/45 - Learn about OLS [Ordinary Least Squares] algorithm English.vtt
34.1 KB
[TutsNode.com] - Data Science Create Real World Projects/9 - Introduction to Linear Regression/45 - Learn about OLS [Ordinary Least Squares] algorithm.mp4
246.8 MB
[TutsNode.com] - Data Science Create Real World Projects/9 - Introduction to Linear Regression/46 - Introduction to working of Linear Regression English.vtt
40.6 KB
[TutsNode.com] - Data Science Create Real World Projects/9 - Introduction to Linear Regression/47 - Lecture Introduction to MSE, MAE, RMSE English.vtt
14.8 KB
[TutsNode.com] - Data Science Create Real World Projects/9 - Introduction to Linear Regression/48 - Introduction to R squared English.vtt
12.8 KB
[TutsNode.com] - Data Science Create Real World Projects/9 - Introduction to Linear Regression/49 - Implement Simple Linear Regression English.vtt
28.7 KB
[TutsNode.com] - Data Science Create Real World Projects/9 - Introduction to Linear Regression/49 - linear-regression-guide.zip
